Digital Images and Human Vision

Overview

These fifteen contributions by distinguished vision and imaging scientists explore the role of human vision in the design of modem image communication systems. A dominant theme in the book is image compression—how compression algorithms can be designed to make best use of what we know about human vision.

Electronic image communications, which encompass television, high-definition television, teleconferencing, multimedia, digital photography, desktop publishing, and digital ...

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1993 Hard cover New in new dust jacket. New, unread copy. Pages clean & bright, binding tight, corners sharp. No writing or markings. Perfect copy. Sewn binding. Cloth over ... boards. 224 p. Bradford Books (Hardcover). Audience: General/trade. Read more Show Less

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Overview

These fifteen contributions by distinguished vision and imaging scientists explore the role of human vision in the design of modem image communication systems. A dominant theme in the book is image compression—how compression algorithms can be designed to make best use of what we know about human vision.

Electronic image communications, which encompass television, high-definition television, teleconferencing, multimedia, digital photography, desktop publishing, and digital movies, is a rapidly growing segment of technology and business. Because these products and technologies are designed for human viewing, knowledge of human perception is essential to optimal design. This book provides a timely compendium of important ideas and perspectives on such subjects as the key aspects of human visual sensitivity that are relevant to image communications and, conversely, the major problems in image communications that vision science can address; the mathematical models of human vision that are useful in the design of image comunications systems; reliable and efficient methods of evaluating visual quality; and aspects of human vision that can be exploited to provide substantial improvements in coding efficiency.

Andrew B. Watson is Senior Scientist for Vision Research at NASA.

Contributors: Albert J. Ahumada, Jr. E. Barth. V. Michael Bove, Jr. Gershon Buchsbaum. Phillipe Cassereau. Pamela C. Cosman. Scott J. Daly. Michael Eckert. Bernd Girod. William E. Glenn. Robert M. Gray. Paul J. Hearty. Bradley Horowitz. Stanley Klein. Jeffrey Lubin, Cynthia Null. Karen L. Oehler. Alex Pentland. Todd Reed. Andrew B. Watson. B. Wegmann. Christof Zetsche.

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Editorial Reviews

Booknews
Vision and imaging scientists explore the role of human vision in the design of such communication systems as garden-variety and high-definition television, teleconferencing, multimedia, digital photography, desktop publishing, and digital movies. They consider image coding and compression, perceptual aspects of image coding, and the measurement and prediction of visual quality. The 15 studies are from a workshop (no date or place noted) organized by a committee of the National Research Council.
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Product Details

  • ISBN-13: 9780262231718
  • Publisher: MIT Press
  • Publication date: 10/20/1993
  • Series: Bradford Books Series
  • Edition description: New Edition
  • Pages: 224
  • Product dimensions: 8.83 (w) x 10.34 (h) x 0.78 (d)

Table of Contents

Part I Image Coding and Compression
1 Local Frequency Representions for Image Sequence
Processing and Coding
Todd R. Reed
2 Wavelet-based Image Coding
Philippe M. Cassereau
3 Scalable (Extensible, Interoperable) Digital Video
Representations
V. Michael Bove, Jr.
4 Incorporating Visual Factors into Vector Quantizers
for Image Compression
Robert M. Gray, Pamela C. Cosman, and Karen L. Oehler
5 A Practical Approach to Fractel-based Image
Compression
Alex Pentland and Bradley Horowitz
Part II Perceptual Aspects of Image Coding
6 Digital Image Compression Based on Visual
Perception
William E. Glenn
7 Image Quality and Image Compression: A
Psychophysicist's Viewpoint
Stanley A. Klein
8 The Significance of Eye Movements and Image
Acceleration for Coding Television Image Sequences
Michael P. Eckert and Gershon Buchsbaum
9 Visual System Considerations in the Coding of Natural
Color Images
Gershon Buchsbaum
10 The Importance of Intrinsically Two-dimensional Image
Features in Biological Vision and Picture Coding
Christof Zetzsche, Erhardt Barth, and Bernhard Wegmann
Part III Measurement and Prediction of Visual
Quality
11 Image Quality: A Multidimensional Problem
Albert J. Ahumada, Jr. and Cynthia H. Null
12 Achieving and Confirming Optimum Image Quality
Paul J. Hearty
13 The Use of Psychophysical Data and Models in the
Analysis of Display System Performance
Jeffrey Lubin
14 The Visible Differences Predictor: An Algorithm for
the Assessment of Image Fidelity
Scott Daly
15 What's Wrong with Mean-squared Error?
Bernd Girod
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