Perceptual Digital Imaging

Perceptual Digital Imaging: Methods and Applications

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Features

  • Details recent advances in digital imaging and human visual perception modeling
  • Explains the latest techniques, algorithms, and solutions for image and video acquisition, processing, analysis, and evaluation
  • Provides comprehensive coverage of human visual system-driven computational imaging
  • Explores new digital image and video processing applications
  • Contains numerous examples, illustrations, color images, and tables summarizing results from quantitative studies

Summary

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.

Table of Contents

Characteristics of Human Vision
Stefan Winkler

An Analysis of Human Visual Perception Based on Real-Time Constraints of Ecological Vision
Haluk Öğmen

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
Rastislav Lukac

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
Xin Li

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
Shujun Li

Exceeding Physical Limitations: Apparent Display Qualities
Piotr Didyk, Karol Myszkowski, Elmar Eisemann, and Tobias Ritschel

Index

Editor Bio(s)

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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