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This book, written by a leading expert in the field of visual effects (VFX), demystifies the complex subject of color science and how it should be managed from project ideation to completion. Readers will learn not only how things work, their capabilities and limitations, but also the color science that goes along with them, in an accessible and informative manner. Starting in the real world, with an understanding of light and our human perception of it, the book then explores how digital cameras'see'and digitize the scene. From the capture of these images, the author then explores the fundamental concerns of storage, editing, and managing color images, including with OpenColorIO and ACES, the Academy Color Encoding System. Written for professional photographers, cinematographers, VFX, motion graphics and computer graphics artists, editors, and colorists, this book will provide you with knowledge of the upstream and downstream technology of your job that will not only give you a competitive advantage and help you to make better images, but also give you a real-world working knowledge of color science.

This book constitutes the refereed proceedings of the 14th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2024, held in Kottayam, India, during December 14–17, 2024. The 8 full papers, 10 short papers and 1 invited paper included in this book were carefully reviewed and selected from 43 submissions. They were organized in topical sections as follows: security, privacy, applied cryptographic engineering, integration of machine learning techniques, reflecting the growing prominence of this approach in contemporary research on security and cryptography, hardware security, the exploration of post-quantum cryptography, and the development of efficient implementations for emerging cryptographic primitives.

This book is based on satellite image processing, focusing on the potential of hyperspectral image processing (HIP) research with a case study-based approach. It covers the background, objectives, and practical issues related to HIP and substantiates the needs and potentials of said technology for discrimination of pure and mixed endmembers in pixels, including unsupervised target detection algorithms for extraction of unknown spectra of pure pixels. It includes application of machine learning and deep learning models on hyperspectral data and its role in spatial big data analytics.Features include the following: Focuses on capability of hyperspectral data in characterization of linear and non-linear interactions of a natural forest biome. Illustrates modeling the ecodynamics of mangrove habitats in the coastal ecosystem. Discusses adoption of appropriate technique for handling spatial data (with coarse resolution). Covers machine learning and deep learning models for classification. Implements non-linear spectral unmixing for identifying fractional abundance of diverse mangrove species of coastal Sundarbans. This book is aimed at researchers and graduate students in digital image processing, big data, and spatial informatics.

The fastest, easiest, most comprehensive way to learn Adobe Photoshop Adobe Photoshop Classroom in a Book 2024 Release contains 15 lessons that use real-world, project-based learning to cover the basics and beyond, providing countless tips and techniques to help you become more productive with the program. For beginners and experienced users alike, you can follow the book from start to finish or choose only those lessons that interest you. Learn to: Create and improve digital images with AI-powered tools including Generative Fill. Seamlessly remove backgrounds, replace skies, and repair photos Select subjects with complex outlines, including hair, quickly and precisely Composite multiple images and typography Animate video, still, and type layers and export as a video Edit camera raw images Automate repetitive tasks Save as a Photoshop cloud document to easily edit across desktop and mobile devices Export your work for web, mobile devices, and print Classroom in a Book®, the best-selling series of hands-on software training workbooks, offers what no other book or training program does—an official training series from Adobe, developed with the support of Adobe product experts. Purchasing this book includes valuable online extras. Follow the instructions in the book's'Getting Started'section to unlock access to: Downloadable lesson files you need to work through the projects in the book Web Edition containing the complete text of the book, interactive quizzes, and videos that walk you through the lessons step by step What you need to use this book: Adobe Photoshop (2024 release) software, for either Windows or macOS. (Software not included.)

Written by senior compositor, technical director, and master trainer Steve Wright, this book condenses years of production experience into an easy-to-read and highly informative guide suitable for both working and aspiring visual effects artists. This updated edition of Digital Compositing for Film and Video addresses the problems and difficult choices that professional compositors face daily with an elegant blend of theory, practical production techniques, and workflows. It is written to be software-agnostic, so it applies to any brand of software. It features many step-by-step workflows, powerful new keying techniques, and updates on the latest tech in the visual effects industry with all-new content on artificial intelligence (AI) for visual effects (VFX), Universal Scene Description (USD), Virtual Production, and Cryptomattes. A companion website offers images from the examples discussed in the book allowing readers to experiment with the material first-hand. This edition also adds Nuke workflows to the companion website for the first time.

PIXELS & PAINTINGS “The discussion is firmly grounded in established art historical practices, such as close visual analysis and an understanding of artists'working methods, and real-world examples demonstrate how computer-assisted techniques can complement traditional approaches.” —Dr. Emilie Gordenker, Director of the Van Gogh Museum The pioneering presentation of computer-based image analysis of fine art, forging a dialog between art scholars and the computer vision community In recent years, sophisticated computer vision, graphics, and artificial intelligence algorithms have proven to be increasingly powerful tools in the study of fine art. These methods—some adapted from forensic digital photography and others developed specifically for art—empower a growing number of computer-savvy art scholars, conservators, and historians to answer longstanding questions as well as provide new approaches to the interpretation of art. Pixels & Paintings provides the first and authoritative overview of the broad range of these methods, which extend from image processing of palette, marks, brush strokes, and shapes up through analysis of objects, poses, style, composition, to the computation of simple interpretations of artworks. This book stresses that computer methods for art analysis must always incorporate the cultural contexts appropriate to the art studies at hand—a blend of humanistic and scientific expertise. Describes powerful computer image analysis methods and their application to problems in the history and interpretation of fine art Discusses some of the art historical lessons and revelations provided by the use of these methods Clarifies the assumptions and applicability of methods and the role of cultural contexts in their use Shows how computation can be used to analyze tens of thousands of artworks to reveal trends and anomalies that could not be found by traditional non-computer methods Pixels & Paintings is essential reading for computer image analysts and graphics specialists, conservators, historians, students, psychologists and the general public interested in the study and appreciation of art.

Presents a review of image denoising algorithms with practical MATLAB implementation guidance Digital Image Denoising in MATLAB provides a comprehensive treatment of digital image denoising, containing a variety of techniques with applications in high-quality photo enhancement as well as multi-dimensional signal processing problems such as array signal processing, radar signal estimation and detection, and more. Offering systematic guidance on image denoising in theories and in practice through MATLAB, this hands-on guide includes practical examples, chapter summaries, analytical and programming problems, computer simulations, and source codes for all algorithms discussed in the book. The book explains denoising algorithms including linear and nonlinear filtering, Wiener filtering, spatially adaptive and multi-channel processing, transform and wavelet domains processing, singular value decomposition, and various low variance optimization and low rank processing techniques. Throughout the text, the authors address the theory, analysis, and implementation of the denoising algorithms to help readers solve their image processing problems and develop their own solutions. Explains how the quality of an image can be quantified in MATLAB Discusses what constitutes a “naturally looking” image in subjective and analytical terms Presents denoising techniques for a wide range of digital image processing applications Describes the use of denoising as a pre-processing tool for various signal processing applications or big data analysis Requires only a fundamental knowledge of digital signal processing Includes access to a companion website with source codes, exercises, and additional resources Digital Image Denoising in MATLAB is an excellent textbook for undergraduate courses in digital image processing, recognition, and statistical signal processing, and a highly useful reference for researchers and engineers working with digital images, digital video, and other applications requiring denoising techniques.

This book constitutes the refereed proceedings of the 8th International Symposium on Artificial Intelligence and Robotics, ISAIR 2023, held in Beijing, China, during October 21–23, 2023. The 50 full papers included in this book were carefully reviewed and selected from 103 submissions. They focus on three important areas of Pattern Recognition: Artificial Intelligence; Robotics and Internet of Things, Covering Various Technical Aspects.

The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023, which took place in Wuhan, China, in October 2023. The total of 138 papers included in the proceedings were carefully reviewed and selected from 434 submissions. They focus on innovative ideas, original research findings, case study results, and experienced insights in the areas of the World Wide Web and big data, covering Web technologies, database systems, information management, software engineering, knowledge graph, recommend system and big data.

Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool.The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book.Features Covers introductory and advanced material. Advanced material includes lists, dictionaries, tuples, arrays, plotting using Matplotlib, object-oriented programming Suitable as a textbook for advanced undergraduates or postgraduates, or as a reference for researchers and professionals Solutions manual, code, and additional examples are available for download

This book explores various aspects of digital forensics, security and machine learning, while offering valuable insights into the ever-evolving landscape of multimedia forensics and data security. This book's content can be summarized in two main areas. The first area of this book primarily addresses techniques and methodologies related to digital image forensics. It discusses advanced techniques for image manipulation detection, including the use of deep learning architectures to generate and manipulate synthetic satellite images. This book also explores methods for face recognition under adverse conditions and the importance of forensics in criminal investigations. Additionally, the book highlights anti-forensic measures applied to photos and videos, focusing on their effectiveness and trade-offs.The second area of this book focuses on the broader landscape of security, including the detection of synthetic human voices, secure deep neural networks (DNNs) and federated learning in the context of machine learning security. It investigates novel methods for detecting synthetic human voices using neural vocoder artifacts, and it explores the vulnerabilities and security challenges of federated learning in the face of adversarial attacks. Furthermore, this book delves into the realms of linguistic steganography and steganalysis, discussing the evolving techniques that utilize deep learning and natural language processing to enhance payload and detection accuracy.Overall, this book provides a comprehensive overview of the ever-evolving field of digital forensics and security, making it an invaluable resource for researchers and students interested in image forensics, machine learning security and information protection. It equips readers with the latest knowledge and tools to address the complex challenges posed by the digital landscape. Professionals working in this related field will also find this book to be a valuable resource.

Image classification is a critical component in computer vision tasks and has numerous applications. Traditional methods for image classification involve feature extraction and classification in feature space. Current state-of-the-art methods utilize end-to-end learning with deep neural networks, where feature extraction and classification are integrated into the model. Understanding traditional image classification is important because many of its design concepts directly correspond to components of a neural network. This knowledge can help demystify the behavior of these networks, which may seem opaque at first sight. The book starts from introducing methods for model-driven feature extraction and classification, including basic computer vision techniques for extracting high-level semantics from images. A brief overview of probabilistic classification with generative and discriminative classifiers is then provided. Next, neural networks are presented as a means to learn a classification model directly from labeled sample images, with individual components of the network discussed. The relationships between network components and those of a traditional designed model are explored, and different concepts for regularizing model training are explained. Finally, various methods for analyzing what a network has learned are covered in the closing section of the book. The topic of image classification is presented as a thoroughly curated sequence of steps that gradually increase understanding of the working of a fully trainable classifier. Practical exercises in Python/Keras/Tensorflow have been designed to allow for experimental exploration of these concepts. In each chapter, suitable functions from Python modules are briefly introduced to provide students with the necessary tools to conduct these experiments.

Discover the top tricks and techniques with After Effects 2022 and later versions and elevate your graphics design skills by creating real-world projects in this part-color guideKey FeaturesMaster After Effects through hands-on engagement with small projects, following the best practicesLeverage the settings and uncover hidden options in After Effects to optimize your workflowAcquire skills and techniques that will set you apart from other graphic designersPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionVisual effects and motion graphics are everywhere, shaping the film, TV, games, websites, and application landscape. Navigating a field this complex and ever-expanding demands more than mere familiarity with tools; you need to stand out to get ahead. Creative Motion Mastery with Adobe After Effects is the definitive guide that not only equips you with the essential skills to distinguish yourself, but also takes you through real projects that you can add to your portfolio. Guided by a hands-on learning approach, you'll master the UI, workflow, and diverse projects such as text animation, shape layers, and rotoscoping. With this newfound knowledge, you'll take your graphic design and post-production skills to the next level using chroma keying, particle simulations, and 2D and 3D tracking. You'll progress faster than someone taking a formal course in Adobe After Effects! And it's not all about creating; you'll import graphics from Illustrator and Photoshop and apply post-production effects to give them a new life. Finally, you'll discover how seamlessly you can export and manage your projects, ensuring end-to-end coverage of all you need. By the end of the book, you'll have a thorough understanding of Adobe After Effects, equipped with the skills and practice you need to propel your career in graphic design.What you will learnCreate and customize text layers, including text animations, using shape layersEnhance projects with audio elements and apply audio effects to shape layersDevelop editable motion graphics templates for Premiere ProImplement color correction and grading techniques to enhance footage in projectsUse rotoscoping to remove and mask objects seamlesslyGenerate realistic effects such as rain, fire, and smoke using particle simulationsMaster the art of compositing through Chroma KeyingGet to grips with 2D and 3D tracking for seamless element integrationWho this book is forThis book is for graphic designers, UX and UI designers, e-learning designers, motion graphics artists, video editors, and VFX artists. A fundamental grasp and minimal experience with After Effects will help you follow long the concepts covered in this book. Additionally, familiarity with Illustrator and Photoshop will provide an added advantage.

Get in touch with your creative side using Photoshop Elements Photoshop Elements 2024 For Dummies covers the newest version of Adobe's beginner-friendly photo editing software. With the help of this Dummies guide, you'll discover the ins and outs of Photoshop Elements, so you can transform your images from ordinary to extraordinary. The software is packed with all the photo editing tools you need to turn your images into showstoppers. With the help of the easy-to-understand instructions in this book, you'll learn how to use the editing tools, utilize layers, make one-click fixes, brighten colors, add filters, and beyond. Get started with Photoshop Elements and make basic edits in quick mode Create different views of an image and use the history panel to find the best version of your image Replace backgrounds, merge photos, and do other neat editing tricks Understand camera raw to turn your camera's image data into a stunning photo This bestselling Dummies guide is the book you need to get started with Elements and learn the insider tips that will give your images that “wow factor.”

Das Standardwerk zu Adobe Photoshop! Sibylle Mühlke und Jürgen Wolf vermitteln geballtes Photoshop-Wissen und erklären alle Werkzeuge und Funktionen der Software – vom Öffnen einer Datei bis hin zur Arbeit mit 3D und Video. Sie erhalten zahlreiche Tipps und Hintergrundinfos, verstehen, welche Regler und Buttons Sie klicken müssen und haben Ihre Software von A bis Z im Griff! Alle wichtigen Themen werden anhand von Praxisbeispielen erklärt, die Sie Schritt für Schritt nachvollziehen können. Das benötigte Beispielmaterial steht Ihnen natürlich als Download zur Verfügung. So steht perfekten Retuschen, professionellen Montagen und selbst digitalen Gemälden nichts mehr im Wege.Komplett in Farbe, mit Tastenkürzel-Übersichten und Zusatzinfos zum Download – hier finden Sie als Einsteiger oder Fortgeschrittener immer genau das, was Sie brauchen! Aus dem Inhalt:Starthilfe für Neueinsteiger•innenBilder korrigieren und optimieren: Kontraste, Helligkeit und Schärfe, Farbkorrektur und Schwarzweiß, TonwertkorrekturRaw-Entwicklung mit Camera RawWeichzeichnung und SchärfentiefeHDR und PanoramenInhaltsbasierte Retusche, Bild- und Objektivfehler beheben, Perspektivkorrektur, FluchtpunktMalen mit Misch-Pinsel und Co.Texte und TextformatePhotoshop-Techniken: Masken, Auswahlen, Kanäle, Mischmodi, Ebenenstile, Filter, Smartobjekte, Pfade, FormwerkzeugeVideo- und 3D-BearbeitungAutomatisieren, FarbmanagementAusgabe für Druck und WebDie Fachpresse zur Vorauflage: Designer in Action: »Wer auf der Suche nach einem Buch ist, das möglichst alle wichtigen Funktionen von Photoshop abdeckt, Paletten bis ins Detail erklärt oder Filter ausführlich vorstellt, der ist hier richtig.« NaturFoto: »Auf mehr als 1.100 Seiten erklären Sibylle Mühlke und Jürgen Wolf alles, was man über das Arbeiten mit Photoshop wissen muss – mehr Photoshop geht wirklich nicht! Das Referenzwerk für jeden, der die Werkzeuge, Funktionen und Techniken von Grund auf erlernen möchte.«

Unleash your digital creativity with an award-winning designer and Adobe Certified Expert and master complex editing tools and features to work smarter and faster for high-end resultsKey FeaturesCreate, manage, and deliver captivating visuals for print, screen, and the web using proven industry techniquesManage your digital projects with granular control and confidenceBecome an expert and eliminate last-minute Google searches to overcome challengesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUnlock the full potential of Photoshop, the go-to app for content creators, by mastering its complex tools and features. This book, drawing from the award-winning author's 25+ years of design experience, builds on your existing Photoshop knowledge with proven industry techniques, serving as a launchpad to develop professional skills and transformative personal growth. You'll fine-tune color and tone in your images with non-destructive adjustment layers and conceal content like backdrops with precise masking techniques for fine details like hair. Working through a series of real-world editing projects, crafting realistic brand mockups and traditional marketing collateral, you'll learn robust methods for building social media assets in Photoshop, from images to animated GIFs and videos. You'll also be able to bring your typography to life with styles and effects that are simple to edit and store as preset effects. The final section of the book encapsulates all of your learning to create complex montages using advanced masking and compositing techniques. You'll have fun elevating your designs with surreal art styles and conceptual imagery using retouching, blending, and liquify filters. By the end of this Adobe Photoshop book, you'll be equipped to create captivating visuals that leave a lasting impression on your audience.What you will learnDiscover new ways of working with familiar tools, enhancing your existing knowledge of PhotoshopMaster time-saving retouching techniques, ensuring flexibility for repeated edits without compromising on qualityCreate precise image cut-outs and seamless montages with advanced masking toolsMake Photoshop your go-to application for social media contentAutomate repetitive tasks with actions and scripts that batch-process hundreds of images in secondsIntegrate vector assets, type styles, and brand colors from other CC applicationsWho this book is forThis book is for designers, marketers, and online content creators who work with digital imagery regularly. If you use Photoshop to create projects for print, screen, or social, this book will help you take your skills to the next level.

Advances in Machine Learning and Image Analysis for GeoAI provides state-of-the-art machine learning and signal processing techniques for a comprehensive collection of geospatial sensors and sensing platforms. The book covers supervised, semi-supervised and unsupervised geospatial image analysis, sensor fusion across modalities, image super-resolution, transfer learning across sensors and time-points, and spectral unmixing among other topics. The chapters in these thematic areas cover a variety of algorithmic frameworks such as variants of convolutional neural networks, graph convolutional networks, multi-stream networks, Bayesian networks, generative adversarial networks, transformers and more.Advances in Machine Learning and Image Analysis for GeoAI provides graduate students, researchers and practitioners in the area of signal processing and geospatial image analysis with the latest techniques to implement deep learning strategies in their research. - Covers the latest machine learning and signal processing techniques that can effectively leverage multimodal geospatial imagery at scale - Chapters cover a variety of algorithmic frameworks pertaining to GeoAI, including superresolution, self-supervised learning, data fusion, explainable AI, among others - Presents cutting-edge deep learning architectures optimized for a wide array of geospatial imagery

Take complete control of your image-editing process with this beautifully illustrated, easy-to-understand, and jargon-free guide to Photoshop Elements 2024Key FeaturesBenefit from comprehensive coverage of Adobe Photoshop Elements 2024, including new AI-powered tools and advanced featuresGet practical guidance on photo organization, editing, and sharing, with an emphasis on creative and professional techniquesLearn through rich, illustrative content with updated examples, tutorials, and mini creative mini projectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDive into the world of digital photo editing with this latest edition, crafted by a seasoned photographer and digital imaging expert, and harness the full potential of the latest Photoshop Elements 2024. With a unique blend of in-depth tutorials and practical applications, this book is an essential resource for photographers at all levels. Alongside introducing new features like Dark Mode, Match Color, and Photo Reels, as well as advanced techniques like layering and artistic effects, this book addresses common user feedback from previous editions, ensuring a refined and user-friendly experience. With the help of this guide, you'll learn how to leverage AI to stitch widescreen panoramas, remove people from backgrounds, defocus backgrounds, recompose images, and even create a range of calendars and greeting cards for your friends and family. You'll take your prowess to the next level by learning how to correct optical distortion, reshape images, exploit layers, layer masking, and get to grips with sharpening techniques to create the perfect picture or imaginative fantasy illustration. The online realms of animation, video creation, and third-party plugins will also be covered. By the end of this book, you'll know how to leverage the incredible features of Photoshop Elements 2024 with complete confidence. What you will learnMaster new features in Photoshop Elements 2024, including AI-powered tools and one-click fixes on mobileCreate captivating photo collages, digital paintings, and graphic designsEfficiently organize your photo collections for easy access and managementEnhance your social media presence with professionally edited photos and artworksEmploy advanced layer techniques for more powerful and immersive illustrationsGain comprehensive knowledge to become a proficient Photoshop Elements userWho this book is forMastering Adobe Photoshop Elements, Sixth Edition, is for photographers of all skill levels—from hobbyists to professionals. Whether you are new to photo editing or looking to upgrade your skills with the latest Photoshop Elements features, this book offers valuable insights and guidance.

The fastest, easiest, most comprehensive way to learn Adobe Photoshop Lightroom Classic Adobe Photoshop Lightroom Classic Classroom in a Book 2024 Release contains 11 lessons that use real-world, project-based learning to cover the basics and beyond, providing countless tips and techniques to help you become more productive with the program. You can follow the book from start to finish or choose only those lessons that interest you. Learn to: Use proven methods to organize your photography Leverage tools in each module to reduce the amount of time you spend working on images Use AI-based masking and the new Lens Blur panel to quickly change your depth of field Make precise color changes with Point Color to pull the best out of all the elements in your images Showcase your images with stylish books and print layouts, dynamic slideshows, and interactive web galleries Access collections and presets on your desktop, mobile device, or on the web Classroom in a Book®, the best-selling series of hands-on software training workbooks, offers what no other book or training program does—an official training series from Adobe, developed with the support of Adobe product experts. Purchasing this book includes valuable online extras. Follow the instructions in the books'Getting Started'section to unlock access to: Downloadable lesson files you need to work through the projects in the book Web Edition containing the complete text of the book, interactive quizzes, and videos that walk you through the lessons step by step What you need to use this book: Adobe Photoshop Lightroom Classic 2024 Release software, for either Windows or macOS. (Software not included.)

The fastest, easiest, most comprehensive way to learn Adobe After Effects Adobe After Effects Classroom in a Book contains 15 lessons that use real-world, project-based learning to cover the basics and beyond, providing countless tips and techniques to help you become more productive with the program. For beginners and experienced users alike, you can follow the book from start to finish or choose only those lessons that interest you. Learn to: Create, manipulate, and optimize motion graphics for film, video, the web, and mobile devices Animate text and images, customize a wide range of effects, track and sync content, rotoscope, manipulate timing, correct color, and remove unwanted objects Customize cameras, lighting, and 3D objects to create compelling 3D content Design Motion Graphics templates for editing in Adobe Premiere Pro Deform and animate objects and video using robust Puppet tools Classroom in a Book®, the best-selling series of hands-on software training workbooks, offers what no other book or training program does—an official training series from Adobe, developed with the support of Adobe product experts. Purchasing this book includes valuable online extras. Follow the instructions in the book's'Getting Started'section to unlock access to: Downloadable lesson files you need to work through the projects in the book Web Edition containing the complete text of the book, interactive quizzes, and videos that walk you through the lessons step by step What you need to use this book: Adobe After Effects 2024 Release software, for either Windows or macOS. (Software not included.)

This book provides a thorough overview of recent progress in video object tracking, allowing researchers and industrial practitioners to gain a better understanding of the most important problems and developed technologies in the area. Video tracking is a key research area in computer vision and aims to track unique objects in a given video, which are useful for various applications such as video conference, video editing, surveillance, and autonomous driving. This book begins with an introduction to the task of video object tracking, including the most common problem settings. Given the revolution of deep learning in computer vision problems, numerous new tasks, datasets, and methods have been recently proposed in the domain of video tracking. The book includes these recent results as well as benchmarks in large-scale human-centric video analysis in complex events.

Are you ready for an amazing new edition of the Photoshop book that breaks all the rules? Scott Kelby, Editor and Publisher of Photoshop User magazine—and the #1 best-selling photography techniques author—once again takes this book to a whole new level as he uncovers more of the latest, most important, and most useful Adobe Photoshop techniques for photographers. This update to his award-winning, record-breaking book does something for digital photographers that has never been done before—it cuts through the bull and shows you exactly “how to do it.” It's not a bunch of theory; it doesn't challenge you to come up with your own settings or figure it out on your own. Instead, Scott shows you step by step the exact techniques used by today's cutting-edge photographers, and best of all, he shows you flat-out exactly which settings to use, when to use them, and why. That's why editions of this book are widely used as the official study guide in photography courses at colleges and universities around the world. The photographer's workflow in Photoshop has evolved greatly over time and, in the latest edition of this book, you'll learn how to leverage Photoshop's new AI-powered masking features and how to spend less time on boring production tasks, so you can spend more time being creative. Plus, you'll learn: The most useful retouching techniques for photographers, such as how to make “impossible” selections, like wind-blown hair (it's easy, once you know the secrets), and how to use layers like a pro. The sharpening techniques the pros really use. The pros'tricks for fixing the most common photo problems fast! How to seamlessly remove distracting things from your images. How to make the most of Camera Raw and when to work it into your workflow, even if you never shoot in RAW—it works great on JPEGs and TIFFs, too. The latest Photoshop special effects for photographers (there's a whole chapter just on these!). A host of shortcuts, workarounds, and slick “insider” tricks to help you get twice the work done in half the time. You also get four online bonus chapters with even more content, along with the images used in the book, for download, so you can follow right along. If you're ready to learn all the “tricks of the trade”—the same ones that today's leading pros use to correct, edit, retouch, and sharpen their work—then you're holding the book that will do just that.

Learn video compositing, motion graphics design, and animation using Adobe After Effects Adobe After Effects Classroom in a Book (2023 release) uses real-world, project-based learning to cover the basics and beyond, providing countless tips and techniques to help you become more productive with the program. For beginners and experienced users alike, you can follow the book from start to finish or choose only those lessons that interest you. Learn to: Create, manipulate, and optimize motion graphics for film, video, the web, and mobile devices Animate text and images, customize a wide range of effects, track and sync content, rotoscope, manipulate timing, correct color, and remove unwanted objects Customize cameras and lighting to create compelling 3D content Design Motion Graphics templates for editing in Adobe Premiere Pro Deform and animate objects and video using robust Puppet tools Classroom in a Book®, the best-selling series of hands-on software training workbooks, offers what no other book or training program does—an official training series from Adobe, developed with the support of Adobe product experts. Purchasing this book includes valuable online extras. Follow the instructions in the book's'Getting Started'section to unlock access to: Downloadable lesson files you need to work through the projects in the book Web Edition containing the complete text of the book, interactive quizzes, and videos that walk you through the lessons step by step What you need to use this book: Adobe After Effects (2023 release) software, for either Windows or macOS. (Software not included.) Note: Classroom in a Book does not replace the documentation, support, updates, or any other benefits of being a registered owner of Adobe After Effects software.

This book discusses modelling and analysis of Magnetic Resonance Imaging (MRI) data of the human brain. For the data processing pipelines we rely on R, the software environment for statistical computing and graphics. The book is intended for readers from two communities: Statisticians, who are interested in neuroimaging and look for an introduction to the acquired data and typical scientific problems in the field and neuroimaging students, who want to learn about the statistical modeling and analysis of MRI data. Being a practical introduction, the book focuses on those problems in data analysis for which implementations within R are available. By providing full worked-out examples the book thus serves as a tutorial for MRI analysis with R, from which the reader can derive its own data processing scripts.The book starts with a short introduction into MRI. The next chapter considers the process of reading and writing common neuroimaging data formats to and from the Rsession. The main chapters then cover four common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, Multi-Parameter Mapping and Inversion Recovery MRI. The book concludes with extended Appendices on details of the utilize non-parametric statistics and on resources for R and MRI data.The book also addresses the issues of reproducibility and topics like data organization and description, open data and open science. It completely relies on a dynamic report generation with knitr: The books R-code and intermediate results are available for reproducibility of the examples.

Computer Vision and Image Analysis, focuses on techniques and methods for image analysis and their use in the development of computer vison applications. The field is advancing at an ever increasing pace, with applications ranging from medical diagnostics to space exploration. The diversity of applications is one of the driving forces that make it such an exciting field to be involved in for the 21st century. This book presents a unique engineering approach to the practice of computer vision and image analysis, which starts by presenting a global model to help gain an understanding of the overall process, followed by a breakdown and explanation of each individual topic. Topics are presented as they become necessary for understanding the practical imaging model under study, which provides the reader with the motivation to learn about and use the tools and methods being explored.The book includes chapters on image systems and software, image analysis, edge, line and shape detection, image segmentation, feature extraction and pattern classification. Numerous examples, including over 500 color images are used to illustrate the concepts discussed. Readers can explore their own application development with any programming languages, including C/C++, MATLAB®, Python, and R, and software is provided for both the Windows/C/C++ and MATLAB®environments. The book can be used by the academic community in teaching and research, with over 700 PowerPoint Slides and a complete Solutions Manual to the over 150 included problems. It can also be used for self-study by those involved with developing computer vision applications, whether they are engineers, scientists or artists. The new edition has been extensively updated and includes numerous problems and programming exercises that will help the reader and student to develop their skills.

The digital world pervades the everyday lives of most people, and online tools have become an essential part of academic research in many disciplines. This reality is true also for biblical studies and related disciplines, areas that work with complex literary traditions, multiple manuscript cultures, and many methodological approaches to the problems at the centre of our discussions. This book shines a light on multiple new and emerging approaches to big disciplinary questions in biblical studies and beyond by highlight projects that are using digital tools, crafting computer-assisted approaches, and re-thinking the resources fundamental to the history of research.

Boost your audience on social media by leveraging DaVinci Resolve 18 and share impressive micro-content with the guidance of a certified Blackmagic Design training partner Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesEnhance your content with creative editing, VFX composition, color grading, and sound editing techniquesLearn techniques to generate quick video content to engage and increase your audienceDiscover the latest features and hacks of DaVinci Resolve 18 to realize your creative ideasBook DescriptionMicro content dominates social media marketing, but subpar editing and low-quality videos can shrink your audience. Elevate your social media game with DaVinci Resolve - the world's most trusted name in color grading that has been used to grade Hollywood films, TV shows, and commercials. Version 18 enables you to edit, compose VFX, mix sound, and deliver videos for different platforms, including social media and the web. You'll learn the basics of using DaVinci Resolve 18 to create video content, by first gaining an overview of creating a complete short video for social media distribution directly from within the “Cut” page. You'll discover advanced editing, VFX composition, color grading, and sound editing techniques to enhance your content and fix common video content issues that occur while using consumer cameras or mobile phones. By the end of this book, you'll be well-equipped to use DaVinci Resolve to edit, fix, finish, and publish short-form video content directly to social media sites such as YouTube, Twitter, and Vimeo.What you will learnExplore how to edit, add effects, and post to social media using the new Cut pageDeliver video projects swiftly to a variety of social media formats using the Cut pageFix problems with videos, such as stabilizing footage and syncing audioEnhance the quality of your videos through color correction and other visual effects techniquesDiscover how to use the Neural Engine AI in the Studio Version of DaVinci Resolve to speed up your workAdd subtitles and dubbed audio to help your videos reach a wider audienceWho this book is forThis book is for beginner content makers looking for quick techniques to improve their skills and work. It's also useful for experienced content makers who want to begin using DaVinci Resolve for its advanced features. The book acts as a practical training manual for social media marketers, influencers, short film makers, small business owners creating their own content, vloggers, and film/media studies students at schools, colleges, or universities.

On-board image processing systems are used to maximize image data transmission efficiency for large volumes of data gathered by Earth observation satellites. This book explains the methods, mathematical models, and key technologies used for these systems. It introduces the background, basic concepts, and the architecture of on-board image processing, along with on-board detection of the image feature and matching, ground control point identification, on-board geometric correction, calibration, geographic registration, etc.• Describes algorithms and methodologies for on-board image processing with FPGA chips.• Migrates the traditional on-ground computing to on-board operation and the image processing is implemented on-board, not on-ground.• Introduces for the first time many key technologies and methods for on-board image processing.• Emphasizes the recent progress in image processing by using on-board FPGA chips.• Includes case studies from the author's extensive research and experience on the topic.This book gives insights into emerging technologies for on-board processing and will benefit senior undergraduate and graduate students of remote sensing, information technology, computer science and engineering, electronic engineering, and geography, as well as researchers and professionals interested in satellite remote sensing image processing in academia, and governmental and commercial sectors.

A new theory and methodology for the application of computer vision methods to the computational analysis of collected, digitized visual materials, called “distant viewing.”Distant Viewing: Computational Exploration of Digital Images presents a new theory and methodology for the computational analysis of digital images, offering a lively, constructive critique of computer vision that you can actually use. What does it mean to say that computer vision “understands” visual inputs? Annotations never capture a whole image. The way digital images convey information requires what researchers Taylor Arnold and Lauren Tilton call “distant viewing”—a play on the well-known term “distant reading” from computational literary analysis.Recognizing computer vision's limitations, Arnold and Tilton's spirited examination makes the technical exciting by applying distant viewing to the sitcoms Bewitched and I Dream of Jeannie, movie posters and other popular forms of advertising, and Dorothea Lange's photography. In the tradition of visual culture studies and computer vision, Distant Viewing's interdisciplinary perspective encompasses film and media studies, visual semiotics, and the sciences to create a playful, accessible guide for an international audience working in digital humanities, data science, media studies, and visual culture studies.

This book is designed for undergraduate and post-graduate agricultural science students and agricultural engineering researchers to provide a comprehensive insight into the role of digital image processing in agriculture, and its basic principles to solve agriculture issues. This book is constructed with 11 different chapters comprising an introduction to digital image processing, various applications of digital image processing, the role of image processing in the agriculture sector, an overview of fundamental digital image processing procedures, image acquisition methods appropriate for various agricultural situations, image enhancement tools for images acquired in different conditions, image segmentation methods concerned with plant and agriculture images, feature extraction techniques applicable for agricultural images, image classification or pattern recognition to solve agricultural problems, quality assessment metrics of reference and non-reference agriculturally important images and a case study on successful digital image processing application on the banana.

This new textbook on remote sensing and digital image processing of natural resources includes numerous, practical problem-solving exercises and applications of sensors and satellite systems using remote sensing data collection resources, and emphasizes the free and open-source platform R. It explains basic concepts of remote sensing and multidisciplinary applications using R language and R packages, by engaging students in learning theory through hands-on, real-life projects. All chapters are structured with learning objectives, computation, questions, solved exercises, resources, and research suggestions.Features Explains the theory of passive and active remote sensing and its applications in water, soil, vegetation, and atmosphere. Covers data analysis in the free and open-source R platform, which makes remote sensing accessible to anyone with a computer. Includes case studies from different environments with free software algorithms and an R toolset for active learning and a learn-by-doing approach. Provides hands-on exercises at the end of each chapter and encourages readers to understand the potential and the limitations of the environments, remote sensing targets, and process. Explores current trends and developments in remote sensing in homework assignments with data to further explore the use of free multispectral remote sensing data, including very high spatial resolution data sources for target recognition with image processing techniques. While the focus of the book is on environmental and agriculture engineering, it can be applied widely to a variety of subjects such as physical, natural, and social sciences. Students in upper-level undergraduate or graduate programs, taking courses in remote sensing, geoprocessing, civil and environmental engineering, geosciences, environmental sciences, electrical engineering, biology, and hydrology will also benefit from the learning objectives in the book. Professionals who use remote sensing and digital processing will also find this text enlightening.

Machine Learning Algorithms for Signal and Image Processing Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.

A comprehensive update of the leading-edge computer graphics textbook that sets the standard for physically-based rendering in the industry and the field, with new material on GPU ray tracing.Photorealistic computer graphics are ubiquitous in today's world, widely used in movies and video games as well as product design and architecture. Physically-based approaches to rendering, where an accurate modeling of the physics of light scattering is at the heart of image synthesis, offer both visual realism and predictability. Now in a comprehensively updated new edition, this best-selling computer graphics textbook sets the standard for physically-based rendering in the industry and the field. Physically Based Rendering describes both the mathematical theory behind a modern photorealistic rendering system as well as its practical implementation. A method known as literate programming combines human-readable documentation and source code into a single reference that is specifically designed to aid comprehension. The book's leading-edge algorithms, software, and ideas—including new material on GPU ray tracing—equip the reader to design and employ a full-featured rendering system capable of creating stunning imagery. This essential text represents the future of real-time graphics. Detailed and rigorous but accessible approach guides readers all the way from theory to practical software implementationFourth edition features new chapter on GPU ray tracing essential for game developersThe premier reference for professionals learning about and working in the fieldWon its authors a 2014 Academy Award for Scientific and Technical Achievement Includes a companion site complete with source code

This open access book constitutes the refereed proceedings of the 20th International Conference on Digital Health Transformation and Smart Ageing, ICOST 2023, held in Wonju, South Korea, during July 7–8, 2023.The 18 full papers and 16 short papers included in this book were carefully reviewed and selected from 41 submissions. They were organized in topical sections as follows: IoT and AI Solutions for E-health, Biomedical and Health Informatics, Wellbeing Technologies, Short Contributions: Medical Systems and E-health Solutions and Short Contributions: Wellbeing Technologies.

The book provides a mix of theoretical and practical perceptions of the related concepts pertaining to image processing. The primary objectives are to offer an overview to the elementary concepts and practices appropriate to digital image processing as well as to provide theoretical exposition. It starts with an expanded coverage of the fundamentals to provide a more comprehensive and cohesive coverage of the topics including but not limited to: Applications and tools for image processing, and fundamentals with several implementation examples Concepts of image formation OpenCV installation with step-by-step screen shots Concepts behind intensity, brightness and contrast, color models Ways by which noises are created in an image and the possible remedial measures Edge detection, image segmentation, classification, regression, classification algorithms Importance of frequency domain in image processing field Relevant code snippets and the MATLAB® codes, and several interesting sets of simple programs in OpenCV and Python to aid learning and for complete understanding The video lectures for specific topics through YouTube enable easy inference for the readers to apply the learnt theory into practice. The addition of contents at the end of each chapter such as quizzes and review questions fully prepare the readers for further study.Graduate students, post graduate students, researchers, and anyone in general interested in image processing, computer vision, machine learning domains etc. can find this book an excellent starting point for information and an able ally.

El imperio de las imágenes, que se extiende por todos los medios masivos de comunicación, gráficos y digitales, es regido por un secreto del que todos hemos oído hablar. En la mayoría de fotografías que inducen a contemplar una pantalla o deslumbran en una revista hay modelos de perfección sobrehumana, pero mucha de esa sobrehumanidad no ha salido de las lentes de las cámaras, no se corresponde a la realidad, sino que es la mediación de fantasía añadida por uno de los programas más populares de la historia: Adobe Photoshop. Basta con enumerar los intentos para sacar selfis y ver la cantidad de tomas que estarían bien si se les cambiara esto o aquello, para tener idea clara de lo que es la edición fotográfica y cuál es su importancia. En medio de las infinitas aplicaciones móviles que sirven para corregir tales imperfecciones, no es casual que Photoshop se haya mantenido, a lo largo de más de tres décadas, como un concepto tan dominante: es la fuente, de hecho, de un caudal de recursos en continuo crecimiento que, además de abarcar las plataformas tradicionales de escritorio -Mac y PC-, se ha extendido a las tabletas para ofrecer acceso permanente a ese máximo impacto que se busca en las imágenes. A fin de desplegar las técnicas esenciales del programa, desde las herramientas de selección y pintura, hasta el enmascarado y el ajuste de color, este texto presenta una serie integral de ejercicios, diseñados para afianzar, paso a paso y sin conocimientos previos, los fundamentos de la edición de píxeles. A ese enfoque práctico se suma el contexto apropiado para captar plenamente tales nociones y llevarlas a sus propios proyectos. De este modo, la lectura y la aplicación de este libro acompañarán el recorrido de la abstracción a su producto concreto, esto es, seguirán el paso de la imaginación a la imagen real, a la creación profesional de un fotomontaje, a la liberación de su creatividad.

Image and Sound Processing for Social Media is an essential guide for anyone looking to understand the basics of picture and sound processing. This book provides a comprehensive overview of the topic, covering everything from the foundations of image and sound processing to the latest developments in the field. With eight informative chapters, Image & Sound Processing is a must-read for anyone interested in this fascinating subject. The key objective of this book is to provide an introduction to fundamental concepts and methods for image and sound processing for social media and to lay the framework for future study and research in this area. This book is suitable for audience from all fields who are involved in social media image and sound processing.

Holen Sie das Beste aus Ihren Bildern heraus – mit Photoshop Elements 2024 und diesem umfassenden Handbuch! Der begeisterte Digitalfotograf Jürgen Wolf erklärt Ihnen verständlich und praxisbezogen, wie Sie Ihre Fotos optimieren, Bildfehler korrigieren oder kreative Montagen und Collagen erstellen. Schaffen Sie mit dem Organizer Ordnung in Ihrer Bildersammlung. Nutzen Sie spezielle Filter für einen ganz besonderen Foto-Look. Ihr Lieblingsbild hat einen Farbstich? Kein Problem! Egal, was Sie mit Photoshop Elements machen wollen – in diesem Buch erfahren Sie, wie es geht!Selbst knifflige Aufgaben werden Sie erfolgreich bewältigen. Zahlreiche Workshops und Profi-Tipps helfen Ihnen dabei. Damit Sie alle Schritte anschaulich nachvollziehen können, stehen Ihnen Beispielbilder als Download zur Verfügung. So tauchen Sie Schritt für Schritt tiefer in die Bildbearbeitung mit Photoshop Elements 2024 ein.Aus dem Inhalt:Die neue Programmoberfläche kennenlernenBilder übersichtlich verwaltenUmfangreiche Bildkorrekturen meisternMit Farben die Bildwirkung beeinflussenAuswahlen erstellen und Objekte freistellenMit Ebenen gezielt und kreativ arbeitenPorträts perfekt retuschierenTexte und Formen einsetzenCollagen, Montagen und Panoramen mit Photomerge erstellenBilder wirkungsvoll präsentierenFarbprofile, Plug-ins und Tastenkürzel nutzenMit vielen Beispielbildern zum Download

Digitally repair damaged prints, correct color shifts, and even colorize black and white images. This thoroughly revised book will show you how to retouch and restore photos using the most up-to-date version of GIMP and it's latest tools and features.Basic knowledge of GIMP is helpful, but the first chapter provides an overview of the free, open source image editing program. You'll then see how GIMP is a worthy alternative to Adobe Photoshop. You'll also work with step-by-step tutorials to duplicate the results using the same practice images used in the lessons. Because it is cross-platform friendly you can turn “unfixable” photos into digital art on Windows, macOS, and Linux enhancing your learning experience. Beginning Photo Retouching and Restoration Using GIMP provides insight into the powerful program's wide set of features for just about any type of retouching or restoration work.What You'll LearnAcquire the best scans and digitize large photographsAdjust contrast and exposure to make dull images “pop”Remove cracks, creases, tears, and blemishesRetouch portraits and replace backgroundsPreserve your newly restored and printed photographs, and properly store originalsWho This Book Is ForAnyone interested in retouching or restoring photos, whether they are family archivists genealogists, photographers, designers, or students―particularly those requiring a powerful program, but don't want or need to use Adobe's subscription-based service to access Photoshop.

In this valuable reference work, Ichiro Fujieda focuses on the component technologies, device configurations, and operation principles of image acquisition and display technologies and provides detailed use cases to give practical guidance on the various current and potential future applications of these technologies.The technology and the physics behind these devices can be grouped into three categories: optical technology, material science, and semiconductor device technology. This book enables readers to gain an understanding of these three areas in relation to the flow of image information and several example applications of the technology. Fujieda first describes the building blocks of image sensors and displays (detectors, light sources, transistors, and wavefront control devices) and their configurations, operation principles, and characteristics. He then describes in more detail image sensor technology (including MOS image sensors, CCD technologies, and X-ray and infrared imagers) and displays (including thin-film transistor arrays, LCDs, OLEDs, MEMS devices, and more). Finally, he provides real-world examples of how these technologies are used together to give the reader an understanding of their practical applications and their potential use in future devices. Some important laws in optics and definitions in color science are included for easy reference. Through this approach, the reader will gain a detailed understanding of each of the component parts of existing imaging devices and will be able to apply this to future developments within the field.This book will benefit any advanced undergraduate and graduate student and industry professional who wishes to expand his or her understanding of the hardware handling digital images. Some basic knowledge is required on semiconductor device physics and the interaction of radiation with matter, though these are described in the appropriate sections.

Adobe After Effects ist ein komplexes Programm, umso besser, wenn Sie dieses Lern- und Nachschlagewerk immer zur Hand haben. Keying-Effekte, 3D-Animationen, Rendering, Motion Tracking, endlich werden alle Funktionen präzise und verständlich erklärt. Holen Sie alles aus Adobe After Effects heraus und verblüffen Sie mit kinoreifen visuellen Effekten. Sie sind nur noch wenige Seiten vom atemberaubenden Compositing entfernt …Aus dem Inhalt:Arbeitsoberfläche, Werkzeuge, FunktionenKeyframes, Animation, Puppenwerkzeug, Character AnimatorArbeiten mit ExpressionsKeying mit und ohne Green- oder Bluescreen, Keylight, Cycore-EffekteSlow-Motion, ZeitrafferMotion-Tracking, Mocha, 3D-Kamera-Tracker, Verkrümmungsstabilisierung VFXColor Finesse, Malen und RetuschierenTitel und Texte, TextanimationRendertechniken und Media EncoderHDTV, MPEG-2, MPEG-4, H.264Ray-traced-3D-KompositionenIntegration: Cinema 4D, Photoshop, Illustrator, Premiere Pro

A provocative investigation of the future of photography and human perception in the age of AI.We are constantly photographing and being photographed while feeding machine learning databases with our data, which in turn is used to generate new images. Analyzing the transformation of photography by computation—and the transformation of human perception by algorithmically driven images, from CGI to AI—The Perception Machine investigates what it means for us to live surrounded by image flows and machine eyes. In an astute and engaging argument, Joanna Zylinska brings together media theory and neuroscience in a Vilém Flusser–Paul Virilio remix. Her “perception machine” names a technical universe of images and their infrastructures. But it also refers to a sociopolitical condition resulting from today's automation of vision, imaging—and imagination.Written by a theorist-practitioner, the book incorporates Zylinska's own art projects, some of which have been co-created with AI. The photographs, collages, films, and installations available as part of the book (and its companion website) provide a different mode of thinking about our technological futures, at a local as well as a planetary level. Offering provocative concepts such as eco-eco-punk, AUTO-FOTO-KINO, planetary micro-vision, loser images, and sensography, the book outlines an existential philosophy of messy media for a time when our practices of imaging and self-imaging are being radically redesigned. Importantly, it also offers a new vision of our future.

Digital Image Enhancement, Restoration and Compression focuses on human vision-based imaging application development. Examples include making poor images look better, the development of advanced compression algorithms, special effects imaging for motion pictures and the restoration of satellite images distorted by atmospheric disturbance. This book presents a unique engineering approach to the practice of digital imaging, which starts by presenting a global model to help gain an understanding of the overall process, followed by a breakdown and explanation of each individual topic. Topics are presented as they become necessary for understanding the practical imaging model under study, which provides the reader with the motivation to learn about and use the tools and methods being explored.The book includes chapters on imaging systems and software, the human visual system, image transforms, image filtering, image enhancement, image restoration, and image compression. Numerous examples, including over 700 color images, are used to illustrate the concepts discussed. Readers can explore their own application development with any programming language, including C/C++, MATLAB®, Python and R, and software is provided for both the Windows/C/C++ and MATLAB environments.The book can be used by the academic community in teaching and research, with over 1,000 PowerPoint slides and a complete solutions manual to the over 230 included problems. It can also be used for self-study by those involved with application development, whether they are engineers, scientists or artists. The new edition has been extensively updated and includes numerous problems and programming exercises that will help the reader and student develop their skills.