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Your search keyword '"IMAGE processing"' showing total 12 results
Start Over Descriptor "IMAGE processing" Topic iphone (smartphone) Publication Year Range Last 50 years
12 results on '"IMAGE processing"'

1. Why is the iPhone so successful? It's simple.

Author

SNELL, JASON

Subjects
*IPHONE (Smartphone), *COMPUTER engineering, *COMPUTERS, *IMAGE processing, *THIRD-party software
Abstract

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]

Published
2023

2. iPHONE 14 REVIEW: IS GOOD ENOUGH GOOD ENOUGH?

Author

HASLAM, KAREN

Subjects
*IPHONE (Smartphone), *NIGHT photography, *SIM cards, *IMAGE processing
Abstract

BOTTOM LINE Most people wondering whether they should buy the iPhone 14 will be upgrading from a much older iPhone than the iPhone 13, but those same people would be wise to consider the iPhone 13 as an alternative since the iPhone 13 is still on sale. If the new camera features of the iPhone 14 are attractive to you, then you may want to consider spending a little more to get the iPhone 14 Pro, which brings a 48MP camera and a 3X telephoto lens along with all of the new iPhone 14 camera features. The Geekbench 4 battery tests indicated just under 9 hours for the iPhone 14, 9:44 for the iPhone 14 Pro, 8:11 for the iPhone 13, and 9:15 for the iPhone 13 Pro. [Extracted from the article]

Published
2022

3. REVIEW: iPHONE 14 PRO: A GLIMPSE OF THE FUTURE.

Author

CROSS, JASON and LOYOLA, ROMAN

Subjects
*FOCAL length, *HIGH dynamic range imaging, *IPHONE (Smartphone), *IMAGE stabilization, *COMPUTATIONAL photography, *NIGHTSTANDS (Furniture), *IMAGE processing
Abstract

The iPhone 14 Pro Max is the about same size as the 12 Pro Max, as well as the iPhone 13 Pro Max it replaces (fave.co/3xWPTlb). And the iPhone 14 Pro Max lasted 3 hours and 43 minutes longer than the iPhone 14 Pro - that's 30 percent more battery life from a battery that is 35 percent larger than the smaller iPhone 14 Pro. However, if battery life is your main reason for choosing a large iPhone, Apple does have another iPhone that has recently arrived - the iPhone 14 Plus, which according to Apple's estimates can beat the 14 Pro Max in terms of battery life. The yearly iPhone release, and indeed most smartphone releases, have gotten kind of boring: The latest model is a little faster, the camera's better, and maybe there's some stand-out gimmick that will feature in all the ads but won't really improve the way you use your phone. [Extracted from the article]

Published
2022

4. Recognition of human Iris for biometric identification using Daugman's method.

Author

Mohammed, Reend Tawfik, Kaur, Harleen, Alankar, Bhavya, and Chauhan, Ritu

Subjects
*BIOMETRIC identification, *IRIS recognition, *CAMERA phones, *IMAGE processing, *PERFORMANCE technology, *HUMAN fingerprints, *IPHONE (Smartphone)
Abstract

Iris identification is a well‐known technology used to detect striking biometric identification procedures for recognizing human beings based on physical behaviour. The texture of the iris is unique and its anatomy varies from individual to individual. As we know, the physical features of human beings are unique, and they never change; this has led to a significant development in the field of iris recognition. Iris recognition tends to be a reliable domain of technology as it inherits the random variation of the data. In the proposed study of approach, we have designed and implemented a framework using various subsystems, where each phase relates to the other iris recognition system, and these stages are discussed as segmentation, normalisation, and feature encoding. The study is implemented using MATLAB where the results are outcast using the rapid application development (RAD) approach. We have applied the RAD domain, as it has an excellent computing power to generate expeditious results using complex coding, image processing toolbox, and high‐level programing methodology. Further, the performance of the technology is tested on two informational groups of eye images MMU Iris database, CASIA V1, CASIA V2, MICHE I, MICHE II iris database, and images captured by iPhone camera and Android phone. The emphasis on the current study of approach is to apply the proposed algorithm to achieve high performance with less ideal conditions. [ABSTRACT FROM AUTHOR]

Published
2022
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5. Apple's solution for bad Mac webcams shouldn't be the iPhone.

Author

CROSS, JASON

Subjects
*MACINTOSH (Computer), *IPHONE (Smartphone), *WEBCAMS, *LIGHT filters, *IMAGE processing, *TELECOMMUTING
Abstract

Only now are Mac webcams getting to be on par with the USB webcam I've used for a decade! MAC USER There was a time when Apple really cared about Macs having better video chat quality than any other computer you could buy. [Extracted from the article]

Published
2022

7. AUTOMATIC NUMBER PLATE RECOGNITION SYSTEM FOR IPHONE DEVICES.

Author

ASZALOS, Attila and ENĂCHESCU, Călin

Subjects
*COMPUTER operating systems, *MOBILE operating systems, *ARTIFICIAL neural networks, *IPHONE (Smartphone)
Abstract

This paper presents a system for automatic number plate recognition, implemented for devices running the iOS operating system. The methods used for number plate recognition are based on existing methods, but optimized for devices with low hardware resources. To solve the task of automatic number plate recognition we have divided it into the following subtasks: image acquisition, localization of the number plate position on the image and character detection. The first subtask is performed by the camera of an iPhone, the second one is done using image pre-processing methods and template matching. For the character recognition we are using a feed-forward artificial neural network. Each of these methods is presented along with its results. [ABSTRACT FROM AUTHOR]

Published
2013

8. Finicky Pixels.

Author

ARNDT, RACHEL Z.

Subjects
*COMPUTERS, *IPHONE (Smartphone), *IMAGE processing, *DIGITAL images, *UNITS of time
Abstract

The article offers advices on issues related computers and iPhones. It says that a tiny red dot that appeared on a computerscreen can be disappeared by making the screen quickly flashes a series of solid colors and using the Java JScreenfix application to toggle color changes onscreen. It suggests the need for iPhone users to specify the time zone in their unit when scheduling an event in a zone other than the one they are in.

Published
2013

9. BACK TO THE DRAWING PAD.

Author

Mercer, Tim

Subjects
*COMPUTER software, *APPLICATION software, *IPHONE (Smartphone), *MOBILE communication systems, *IMAGE processing
Abstract

The article reviews several application software for iPhone and other mobile accessories, including "Color Splash" imaging application, "Animation Creator HD," and "SketchBook Pro" drawing application.

Published
2010

10. FOR THE SHUTTER-BUG SET.

Author

Colburn, Beau

Subjects
*COMPUTER software, *IPHONE (Smartphone), *APPLICATION software, *IMAGE processing, *IMAGING systems
Abstract

The article reviews several application software for iPhone and other mobile accessories, including "Hipstamatic" camera application, "CameraBag" image processing application, and the "Gorillacam."

Published
2010

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