Search

To date, a large number of research papers have been written on malware classification, identification, classification into different families, and the distinction between malware and goodware. These works have been based on captured malware samples and have attempted to analyse malware and goodware using various techniques like the analysis of malware using malware visualization. These works usually convert malware samples capturing the malware structure into image structures which are then subject to image processing. In this paper, we propose an unconventional and novel approach to malware visualization based on its dynamical analysis, subsequent complex network conversion and fractal geometry, e.g. Julia sets visualization. Very interesting images being subsequently used to classify as malware and goodware. The classification is done by deep learning network. The results of the presented experiments of fractal conversion and subsequent classification are based on a database of 6,589,997 goodware, 827,853 potentially unwanted applications and 4,174,203 malware samples provided by ESET. 1 1 https://www.eset.com. This paper aims to show a new direction in visualizing malware using fractal geometry and possibilities in analysis and classification. [Display omitted] • Introduction of a new method for malware visualization based on fractal geometry. • Show interesting results when visualy comparing classified samples using fractal geometry. • Test novel malware image classification using deep learning. • To point out and define new research directions in visual malware analysis opened by our method. [ABSTRACT FROM AUTHOR]

The article titled "CANON SCHOOL" discusses various creative options available for editing images in-camera without the need for computer software. It highlights functions such as Creative Filters, Multiple Exposure, HDR, and Picture Style that allow photographers to expand their creative options. The article also mentions Canon's free Picture Style Editor software, which enables users to create customized Picture Style files on their computers. Additionally, it explains the difference between Creative Filters and Creative Assist, and provides tips for achieving intentional camera movement and optimizing screen settings. [Extracted from the article]

Image cartoon-texture decomposition is an important problem in image processing. In recent years, by exploiting low-rank priors of images, low-rank minimization methods have been widely adopted for image cartoon-texture decomposition. Since matrix rank minimization is an NP-hard problem, the convex nuclear norm is often used as a substitute for the matrix's rank to realize the low-rank minimization methods. In this paper, we utilize a generalized non-convex surrogate of the matrix rank function to develop a novel low-rank minimization model for image cartoon-texture decomposition. We design a proximal alternating algorithm to solve the non-convex model and further demonstrate the global convergence of the algorithm. Numerical experiments illustrate that the proposed method can show much better performances than the existing state-of-the-art methods for image cartoon-texture decomposition. [ABSTRACT FROM AUTHOR]

That's why I believe that deep inside Apple Park, there's an underlying belief that the Camera app should be as simple as possible - and that Apple should keep building hardware to make that happen. Apple is aiming for simplicity with its Camera app. IMAGINING THE PERFECT CAMERA APP This feature got me thinking about Apple's ultimate goals in designing the Camera app. [Extracted from the article]

The article discusses the Panasonic MX950, the company's first mini-LED TV. The TV offers bright and vibrant images with superior brightness and backlighting control. It is available in 55-inch and 65-inch models, with the larger model priced at £1,599. The MX950 uses a VA panel and features the HCX PRO AI picture processing engine, offering compatibility with various high dynamic range standards. It has multiple connectivity options, including streaming capabilities, HDMI and USB ports, and support for Dolby Atmos soundtracks. The TV's design is sleek and user-friendly, with a well-implemented remote control and smart TV interface. The MX950 performs well with high-quality content, providing a bright and vibrant viewing experience. However, it has limitations with off-axis viewing and black tones in dark rooms. The sound quality is balanced and detailed, but it may not fully utilize Atmos soundtracks. The TV has two HDMI 2.1 inputs, which may be restrictive for gamers. Overall, the Panasonic MX950 offers a satisfying viewing experience with its bright images and user-friendly features. [Extracted from the article]

Apple's upcoming Vision Pro mixed reality headset is generating excitement as it incorporates eye-tracking technology, which allows users to control the device through eye movements or hand gestures. The eye-tracking system projects invisible light patterns onto the retina and captures the reflected light with near-infrared cameras. This technology not only improves user interaction but also enhances device performance, such as through foveated rendering, which optimizes display performance by focusing on the user's attention. Other companies are also exploring advancements in eye-tracking technology, such as transparent displays and see-through sensors, to further improve accuracy and integration in devices like glasses or windshields. [Extracted from the article]

The article explores the topic of purchasing a used digital camera, specifically focusing on the Leica Digilux 3 from 2006. It suggests that older digital cameras can still be functional and affordable, particularly for those interested in vintage models. The article provides considerations for buying older cameras, such as resolution and recording media compatibility. It then offers a detailed description of the Leica Digilux 3's features, including its sensor size, autofocus system, image quality, and control layout. Overall, the article suggests that buying a pre-owned digital camera can be a viable option for those on a budget or interested in vintage technology. The Leica Digilux 3 is a fully automatic DSLR camera with a Four-Thirds Standard bayonet lens mount. It has a classic rangefinder-type camera design and operates similarly to a digital M camera. The camera has a user-friendly menu system and various function buttons for easy use. It delivers good image quality, particularly at ISO 100 to 400, and offers a wide dynamic range. While it has some technical limitations, such as limited high ISO options and a lower continuous shooting speed, it is an enjoyable and intuitive camera to use. [Extracted from the article]

An interview with visual artist Greg Oakley based in Australia is presented. He shares his journey from traditional artist and graphic designer to a bird artist, combining photography and digital illustration. He also talks about his inspiration from Victorian bird illustrators, his process of creating hyper-real avian artworks, and the publication of his book "Homage to the Bird," featuring colorful depictions of Australian and southeast Asian birds.

The article discusses the use of artificial intelligence (AI) technology, specifically Bing Chat, in creating images related to folk dance. It highlights the author's initial skepticism about AI, followed by their exploration and utilization of Bing Chat for generating images related to English social folk dance. It explores how AI (artificial intelligence) can be a valuable tool for creating promotional material for folk dance events providing insights and tips for using Bing Chat effectively.

• Based on the expression of the generalised translation, the convolution theorem (of the first kind) in the FMT domain is derived. • To further enrich the convolution theory, the convolution theorem (of the second kind) in the FMT domain is proposed. • Based on the proposed convolution theorems, the multiplicative filter in the FMT domain is discussed. The free metaplectic transformation (FMT) is widely used in several fields, including filter design, pattern recognition, image processing, and optics. This study investigated two new convolution theorems in the FMT domain to obtain a more concise and intuitive convolution form. First, on the basis of expressing the generalized translation, we derived the convolution theorem (of the first kind) in the FMT domain, which has the elegance and simplicity of the classical Fourier transform (FT) results. Second, we provide the convolution theorem (of the second kind) in the FMT domain to further study the diversity of the convolution theory. The provided solution can be represented using a simple integral that is easy to implement in multiplying filter designs. Finally, based on this simple form of the convolution theorems, we designed a multiplicative filter in the FMT domain, demonstrating the feasibility and efficiency of the filters designed in this study through simulations. [ABSTRACT FROM AUTHOR]

The article offers review on several Canon EOS and mirrorless cameras which includes EOS 4000D, EOS 250D (REBEL SL3), and EOS 850D (REBEL T8i).

The article explores the process of developing photographic film in a darkroom, highlighting how light interacts with silver halide crystals to create images. It also discusses the history of film photography and the use of darkrooms for developing both film negatives and photographic paper. Topics include the science of film development, the role of silver halide crystals, and the equipment used in a darkroom for image processing.

The article discusses the advantages of shooting in raw file format for professional photographers. Raw files offer greater flexibility and creative potential compared to JPEGs, as they contain more color and detail information without compression. The article emphasizes the importance of understanding how to expose and process raw images effectively to maximize image quality and creative control.

The article focuses on the often-overlooked aspects of advanced camera setup, encouraging photographers to delve into menu structures, customizable buttons, and user modes to fully utilize their camera's potential. It provides insights into improving image quality through personalized settings, such as selecting the appropriate aspect ratio, decluttering the viewfinder, and magnifying the view for precise focus.

2024 FEB 22 (NewsRx) -- By a News Reporter-Staff News Editor at Women's Health Weekly -- Researchers detail new data in Artificial Intelligence. According to news reporting originating from Chennai, […]

Byline: John Archer With a fancy new backlight system, improved brightness and ever-green picture processing, Sony's second-gen mini-LED TV shows that the brand definitely doesn't think OLED is the only [...]

Canon Inc. has maintained its position as one of the top five companies in the world for obtaining the most patents in the United States. It has also been ranked [...]

2024 JAN 20 (NewsRx) -- By a News Reporter-Staff News Editor at Obesity, Fitness & Wellness Week -- According to news reporting based on a preprint abstract, our journalists obtained [...]

Byline: James Davidson At CES 2024, AI picture processing was the clear new major trend and although AI is everyone's favorite thing to talk about at the moment, I'm left [...]

2024 JAN 13 (NewsRx) -- By a News Reporter-Staff News Editor at Obesity, Fitness & Wellness Week -- Fresh data on artificial intelligence are presented in a new report. According [...]

The article presents answers to questions on photo resolution, battery grips, depth of field, image processing, and shooting techniques.

The article explores knowledge graphs, a knowledge base that uses a graph-structured data model or topology to integrate data. The author suggests the importance of understanding the historical context and background of one's research area, noting that students and junior researchers are not completely aware of the source of ideas, concepts and techniques they command. Other topics discussed include the automation of reasoning, the history of graphical representations of knowledge, and how the work described in the article was funded by the Millennium Science Initiative Program.

2023 OCT 14 (NewsRx) -- By a News Reporter-Staff News Editor at Obesity, Fitness & Wellness Week -- A new study on Oncology - Breast Cancer is now available. According [...]

2023 OCT 7 (NewsRx) -- By a News Reporter-Staff News Editor at Obesity, Fitness & Wellness Week -- According to news reporting based on a preprint abstract, our journalists obtained [...]

ON TRIAL WILLING AND ABLE Is it worth buying a used digital camera? It’s a question we get asked a lot by readers and we’ve always erred on the side [...]

Tutorials / TUTORIAL Part 06 Camera Module: Understanding camera modes Take control of your Raspberry Pi Camera Module and how it captures images David is an engineer at Raspberry Pi [...]

2023 SEP 23 (NewsRx) -- By a News Reporter-Staff News Editor at Obesity, Fitness & Wellness Week -- From Alexandria, Virginia, NewsRx journalists report that a patent by the inventor [...]

2023 SEP 9 (NewsRx) -- By a News Reporter-Staff News Editor at Obesity, Fitness & Wellness Week -- Investigators discuss new findings in Oncology - Gastric Cancer. According to news [...]

New to Post-Processing? / NEW TO IMAGE PROCESSING? NEW TO IMAGE PROCESSING? Whether you’re using Photoshop, Lightroom or Elements, we have plenty of guides to help you get the most [...]

In recent years, complementary metal-oxide semiconductor (CMOS) detectors, which have similar and slightly newer technology, have supplanted CCDs as the detector of choice. Indeed, some of the newest cameras are so good that it's becoming increasingly common to capture colorful images of galaxies, nebulae, star clusters, and comets with lots and lots of extremely short exposures, rather than several longer ones. The image uses 162 one-minute exposures recorded with a 92-mm refractor and Player One Poseidon-M camera controlled with TheSky HD. However, this may not be a significant problem, particularly if your camera and telescope combination produce an image scale larger than your mount's periodic error (PE). [Extracted from the article]

This paper proposes a novel Octonion Krawtchouk Moments (OKMs) transform to deal with a set of images in a compact manner, and based on this transform, a local zero-watermarking scheme is proposed to protect the copyright of CT medical images. The scheme first annotates regions of interest (ROIs) on seven medical images and then uses the OKMs of these ROIs to construct a single feature image called zero-watermark. This scheme adopts the gray Wolf Optimizer (GWO) algorithm to have a blind nature and to improve robustness against common image processing manipulations and attacks (zero-watermarking requirements). In addition, our scheme uses the trained U-net (R231) model to reduce the search space for the GWO algorithm and prevent this algorithm from getting stuck in a local optimal solution. The experimental results show that the proposed method is very robust against common image processing manupilations and attacks and has superiority compared with superb other zero-watermarking methods. [ABSTRACT FROM AUTHOR]

This paper presents a new robust multiplicative watermark detector. Due to the strong robustness against various attacks, polar harmonic Fourier moment (PHFM) magnitudes are used as the employed watermark carrier. The distribution of PHFM magnitudes is highly non-Gaussian and can be properly modeled by a heavy-tailed probability density function (PDF). In this paper, we proved that Weibull distribution can suitably fit the distribution of PHFM magnitudes, and based on this, we presented a statistics-based watermark decoder by using the Weibull as a prior for the PHFM magnitudes. In watermark embedding, a multiplicative manner was used to embed watermark information in PHFM magnitudes of the highest entropy blocks to achieve better robustness and imperceptibility. In watermark detection, we developed a Weibull distribution-based statistical watermark decoder, which uses the maximum likelihood (ML) decision rule. Compared with Bessel K form (BKF), Cauchy, and generalized Gaussian (GG)-based decoders, the Weibull-based decoder demonstrates stronger robustness. In addition, the proposed watermark decoder is more robust against geometrical and common image processing attacks than existing statistical watermark decoders. [ABSTRACT FROM AUTHOR]

A common approach to constructing fuzzy rough sets (FRSs) is using t-norms. Furthermore, establishing multi-granulation fuzzy rough sets (MGFRSs) is also usually undertaken by means of t-norms. However, most of these sets cannot satisfy the property that upper approximations contain lower approximations under fuzzy binary relations, which is imperative for rough set models. The overlap function is a type of aggregate function that is widely used in multi-attribute decision-making (MADM), image processing and other fields. In this paper, two novel types of MGFRS models under n -dimensional overlap functions are established to overcome the shortcomings of existing models, which are then applied to the multi-attribute group decision-making (MAGDM) problem. First, idempotent n -dimensional overlap functions are used to establish optimistic and pessimistic MGFRSs. These new models fully preserve the important properties of the traditional MGFRS model. Second, through the theoretical analysis of MGFRS based on overlap functions (OMGFRS) and in combination with the TOPSIS method, a solution mechanism for the MAGDM method is proposed. Finally, to fully illustrate this decision-making method, an effective example is developed. A comparison with available methods indicates that this approach is more suitable and has wider adaptability, and that is can be used to handle decision-making problems. [ABSTRACT FROM AUTHOR]

A predictive method using physics-informed machine learning (PIML) and large eddy simulation (LES) is developed to capture the transient flow field through microscale porous media (PSPM). An image processing technique extracts the 3D geometry of the internal layers of the mask from 2D microscopy images, and then the fluid flow is first simulated numerically. The subsequently developed PIML method successfully predicts the transient flow patterns inside the porous medium. For the first time, 3D maps of time-dependent pressure, velocity, and vorticity are predicted across the fibrous porous medium. The results show that, compared to conventional computational fluid dynamics, the PIML method can reduce the computational cost by over 20 times. Further, the LES model can replicate the fine fluctuations caused by the flow passage through the porous medium. Therefore, the developed methodology allows for transient flow predictions in highly complex configurations at a substantially reduced cost. The results indicate that the PIML method can reduce the total computational time (including training and prediction) by 22.5 and 20.7 times over the standard numerical simulation, based on speeds of 0.1 and 0.5 m/s, respectively. Several factors including the inherent differences between CPUs and GPUs, algorithms and software, appear to influence this improvement. [ABSTRACT FROM AUTHOR]

Template matching (TM) is a technique used in computer vision that helps us to identify small pieces of a predefined sub image known as template and a corresponding area inside a large image. There are several approaches in the literature that solve this problem. In spite of their acceptable results, the existing methods fail to detect templates when they are rotated in a large image. On the other hand, the structural similarity (SSIM) index is a resemblance model that allows us to evaluate the affinity between two images. Different from other similarity indexes, SSIM considers important structural information while also incorporating essential elements such as luminance and contrast terms. This paper presents a new approach for template matching when an image is rotated. Our method considers the complete process as an optimization problem where a metaheuristic algorithm is used to find the best resemblance between the template and its rotated or unrotated image. In order to obtain a robust detection, our approach considers the use of the SSIM index as an objective function. Although metaheuristic approaches produce interesting results, there is not an ideal algorithm that can competitively solve all problems. Under such conditions, our study analyzes the performance of five different metaheuristic techniques for solving the problem of TM. In the comparison, several complicated computer experiments have been conducted considering different performance indexes. The results show that the proposed technique solves the problem of TM competitively for rotated instances in terms of accuracy and robustness. [ABSTRACT FROM AUTHOR]

The article discusses the use of artificial intelligence and machine learning in image and video processing for military and aerospace environments. Topics discussed include the latest embedded processing technologies, vision systems in military and aerospace, and the importance of open systems standards to provide vendor-agnostic platforms.

The article focuses on the production of architectural guides for modernist buildings in Bonn, Germany using ConTEXt, a typesetting system. Topics include the challenges of designing unique booklets with varying content structures, image placement and processing, and the use of LuaMetaFun for font outlines to create shadow captions.

Copyright of Logistra is the property of Huss Verlag GmbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

BY ANNA SIMON When developing landscape photos, the problem often arises that individual areas of the image, especially very bright or overly dark areas, have a color cast or colors [...]

Inventec is actively attacking various edge AI computing applications. Inventech is actively expanding its team strength and R&D scale to ensure that customers maintain a competitive advantage in the rapidly [...]

by Ron Brecher PI CAN DO IT ALL PixInsight is a versatile astronomical image-processing workhorse suitable for deep sky imagery as well as nightscapes and even planetary photography. While it [...]

2023 JUL 1 (NewsRx) -- By a News Reporter-Staff News Editor at Obesity, Fitness & Wellness Week -- According to news reporting originating from Washington, D.C., by NewsRx journalists, a [...]

The article discusses the repairability and key features of the Apple Vision Pro headset. The headset has a bubble glass front that displays a 3D video of the user's eyes. The glass panel is glued on and can be replaced for a fee of $799. The headset has dual micro-OLED displays, an Apple M2 SoC, a 3D stereoscopic camera system, and spatial audio with head tracking. The battery pack weighs 353 grams and contains three iPhone-sized batteries. The Vision Pro has modularity features such as easy-to-fit lens inserts and magnetically attached light shields, but accessing the front cameras and sensors is difficult and may cause damage. The article concludes with a repairability score of 4 out of 10. [Extracted from the article]

This article from Digital Photographer discusses how to correct perspective distortion in photographs using Adobe Lightroom. It explains that tilt-shift lenses are often used to avoid converging verticals in architectural photography, but they can be expensive. The article provides step-by-step instructions on using Lightroom's Transform and Guided controls to achieve perspective correction. It also advises photographers to shoot wider than usual to accommodate the cropping that may be necessary when using these tools. The article emphasizes the importance of double-checking adjustments and manually cropping the image for better control over the composition. [Extracted from the article]

The article discusses the repairability of the Apple Vision Pro headset. It highlights the major technical specifications of the headset, including its dual micro-OLED displays, Apple M2 SoC, and 3D stereoscopic camera system. The article also provides key findings from a teardown of the headset, such as the glued glass panel, fixed speakers, and modular battery pack. It concludes with a repairability score of 4 out of 10, noting that accessing the front cameras and sensors is difficult and could result in damage. [Extracted from the article]