The Illustrated Digital Imaging Dictionary

This practical guide to digital imaging defines terms likely to be encountered in product documentation. It aims to demystify digital imaging technology, and includes an overview of the field. It is suitable for both novice and more advanced users.

This dictionary is for everyone who enjoys modern photography, image manipulation, and digital imaging. It is the most comprehensive, up to date and authoritative dictionary of this subject, containing over 2100 entries.

Cataloging everything from historic photographic processes to the latest advances in digital technology, this reference contains nearly 5,000 entries explaining the terms and techniques of photography. An ideal sourcebook for anyone with an interest in photography, entries include words associated with shooting techniques, digital imaging terms, specialized photographic subgenres, the science of photography, and notable photographers. Each entry blends ample cross-references with detailed explanations to provide both professional photographers and amateur photo enthusiasts with an essential resource.

Opvallend bij de nieuwe media is het veelvuldig gebruik van afkortingen, zo blijkt wel weer eens uit deze praktische gids. HSB, HSL, HTTP, DTS, SDDS; het is maar een kleine greep van termen die in dit boek verklaard worden. In tegenstelling tot wat de titel doet vermoeden zijn er ook nog veel Ņouderwetseņ termen uit de analoge filmkunst en Őtechniek opgenomen. Dit maakt dit woordenboek tot een zeer bruikbaar instrument voor zowel de analoge als de digitale consument.

Visual perception is a complex process requiring interaction between the receptors in the eye that sense the stimulus and the neural system and the brain that are responsible for communicating and interpreting the sensed visual information. This process involves several physical, neural, and cognitive phenomena whose understanding is essential to design effective and computationally efficient imaging solutions. Building on advances in computer vision, image and video processing, neuroscience, and information engineering, perceptual digital imaging greatly enhances the capabilities of traditional imaging methods. Filling a gap in the literature, Perceptual Digital Imaging: Methods and Applications comprehensively covers the system design, implementation, and application aspects of this emerging specialized area. It gives readers a strong, fundamental understanding of theory and methods, providing a foundation on which solutions for many of the most interesting and challenging imaging problems can be built. The book features contributions by renowned experts who present the state of the art and recent trends in image acquisition, processing, storage, display, and visual quality evaluation. They detail advances in the field and explore human visual system-driven approaches across a broad spectrum of applications, including: Image quality and aesthetics assessment Digital camera imaging White balancing and color enhancement Thumbnail generation Image restoration Super-resolution imaging Digital halftoning and dithering Color feature extraction Semantic multimedia analysis and processing Video shot characterization Image and video encryption Display quality enhancement This is a valuable resource for readers who want to design and implement more effective solutions for cutting-edge digital imaging, computer vision, and multimedia applications. Suitable as a graduate-level textbook or stand-alone reference for researchers and practitioners, it provides a unique overview of an important and rapidly developing research field.

Filled with advice from leading experts in the field, Digital Imaging demystifies computerized art for photographers, artists, and illustrators. The book provides a vital overview of terms and concepts, professional techniques, computer hardware and software, and sources of information and assistance.

The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.