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.

chapter 1|36 pages

Characteristics of Human Vision

ByStefan Winkler

chapter 3|36 pages

Image and Video Quality Assessment: Perception, Psychophysical Models, and Algorithms

ByAnush K. Moorthy, Kalpana Seshadrinathan, Alan C. Bovik

chapter 4|32 pages

Visual Aesthetic Quality Assessment of Digital Images

ByCongcong Li, Tsuhan Chen

chapter 5|44 pages

Perceptually Based Image Processing Algorithm Design

ByJames E. Adams, Jr., Aaron T. Deever, Efraı´n O. Morales, and Bruce H. Pillman

chapter 6|26 pages

Joint White Balancing and Color Enhancement

ByRastislav Lukac

chapter 7|30 pages

Perceptual Thumbnail Generation

ByWei Feng, Liang Wan, Zhouchen Lin, Tien-Tsin Wong, Zhi-Qiang Liu

chapter 9|36 pages

Perceptually Driven Super-Resolution Techniques

ByNabil Sadaka, Lina Karam

chapter 10|32 pages

Methods of Dither Array Construction Employing Models of Visual Perception

ByDaniel L. Lau, Gonzalo R. Arce, Gonzalo J. Garateguy

chapter 11|40 pages

Perceptual Color Descriptors

BySerkan Kiranyaz, Murat Birinci, Moncef Gabbouj

chapter 12|40 pages

Concept-Based Multimedia Processing Using Semantic and Contextual Knowledge

ByEvaggelos Spyrou, Phivos Mylonas, Stefanos Kollias

chapter 13|32 pages

Perceptually Driven Video Shot Characterization

ByGaurav Harit, Santanu Chaudhury

chapter 14|38 pages

Perceptual Encryption of Digital Images and Videos

ByShujun Li

chapter 15|67 pages

Exceeding Physical Limitations: Apparent Display Qualities

ByPiotr Didyk, Karol Myszkowski, Elmar Eisemann, Tobias Ritschel