
Perceptual Digital Imaging
Methods and Applications
Rastislav Lukac(Editor)
CRC Press
1st Edition
Published on 29. March 2017
Book
Paperback/Softback
562 pages
978-1-138-07740-9 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Graduate students in the departments of electrical engineering, computer engineering, computer science, and art, whose orientation is computer vision, digital imaging, digital signal and image processing, visual data processing, computer graphics, multimedia, and visual communication; engineers involved in imaging software or hardware development for the consumer electronics industry; scientists and engineers working in computer vision, digital imaging, and computer graphics, including photography, surveillance, medical imaging, and astronomy.
Illustrations
236 s/w Abbildungen, 22 s/w Tabellen
22 Tables, black and white; 236 Illustrations, black and white
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 30 mm
Weight
1047 gr
ISBN-13
978-1-138-07740-9 (9781138077409)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
12/2017
1st Edition
CRC Press
€114.99
Available for download

E-Book
12/2017
CRC Press
€114.99
Available for download

Book
10/2012
1st Edition
CRC Press
€298.40
Shipment within 15-20 days
Person
Rastislav Lukac is currently a senior digital imaging scientist at Foveon, Inc./Sigma Corp. in San Jose, California. He has authored five books and contributed to twelve books. He has also published more than 200 scholarly research papers in the areas of digital camera image processing, color image and video processing, multimedia security, and microarray image processing. Dr. Lukac holds 12 patents and has authored 25 additional patent-pending inventions in the areas of digital color imaging and pattern recognition. For more information, see Dr. Lukac's Color Image Processing website.
Content
Characteristics of Human Vision. An Analysis of Human Visual Perception Based on Real-Time Constraints of Ecological Vision. Image and Video Quality Assessment: Perception, Psychophysical Models, and Algorithms. Visual Aesthetic Quality Assessment of Digital Images. Perceptually Based Image Processing Algorithm Design. Joint White Balancing and Color Enhancement. Perceptual Thumbnail Generation. Patch-Based Image Processing: From Dictionary Learning to Structural Clustering. Perceptually Driven Super-Resolution Techniques. Methods of Dither Array Construction Employing Models of Visual Perception. Perceptual Color Descriptors. Concept-Based Multimedia Processing Using Semantic and Contextual Knowledge. Perceptually Driven Video Shot Characterization. Perceptual Encryption of Digital Images and Videos. Exceeding Physical Limitations: Apparent Display Qualities. Index.