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:
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.
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
Anush K. Moorthy, Kalpana Seshadrinathan, and Alan C. Bovik
Visual Aesthetic Quality Assessment of Digital Images
Congcong Li and Tsuhan Chen
Perceptually Based Image Processing Algorithm Design
James E. Adams, Jr., Aaron T. Deever, Efraín O. Morales, and Bruce H. Pillman
Joint White Balancing and Color Enhancement
Perceptual Thumbnail Generation
Wei Feng, Liang Wan, Zhouchen Lin, Tien-Tsin Wong, and Zhi-Qiang Liu
Patch-Based Image Processing: From Dictionary Learning to Structural Clustering
Perceptually Driven Super-Resolution Techniques
Nabil Sadaka and Lina Karam
Methods of Dither Array Construction Employing Models of Visual Perception
Daniel L. Lau, Gonzalo R. Arce, and Gonzalo J. Garateguy
Perceptual Color Descriptors
Serkan Kiranyaz, Murat Birinci, and Moncef Gabbouj
Concept-Based Multimedia Processing Using Semantic and Contextual Knowledge
Evaggelos Spyrou, Phivos Mylonas, and Stefanos Kollias
Perceptually Driven Video Shot Characterization
Gaurav Harit and Santanu Chaudhury
Perceptual Encryption of Digital Images and Videos
Exceeding Physical Limitations: Apparent Display Qualities
Piotr Didyk, Karol Myszkowski, Elmar Eisemann, and Tobias Ritschel
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.
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