ISBN-10:
0819455040
ISBN-13:
9780819455048
Pub. Date:
07/28/2004
Publisher:
SPIE Press
Progressive Image Transmission: The Role of Rationality, Cooperation, and Justice

Progressive Image Transmission: The Role of Rationality, Cooperation, and Justice

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Overview

This book presents a practical approach to encoding problems in progressive image transmission. General principles that a solution must obey are first stated, then a novel method for information prioritization, bit rate allocation, and order performance evaluation is described. The method presented can be used in any situation in which the image data can withstand high levels of compression and still permit reconstruction qualities that are adequate for a variety of imaging applications. The book will be of interest to graduate students, engineers, and researchers in image coding. Author information is not given. Annotation © 2004 Book News, Inc., Portland, OR

Product Details

ISBN-13: 9780819455048
Publisher: SPIE Press
Publication date: 07/28/2004
Series: SPIE Press Monograph Series
Pages: 230
Product dimensions: 7.16(w) x 9.98(h) x 0.57(d)

Table of Contents

Prefaceix
Chapter 1Rationality in Progressive Transmission1
1.1Introduction1
1.2Basic elements of the selection problem4
1.3Basic axioms for avoiding forms of behavioral inconsistency5
1.4Progressive transmission utility functions8
1.4.1Rate control procedure13
Chapter 2Coder Evaluation Procedure15
2.1Introduction15
2.2Compound gain: A computational tool for predicting visual distinctness17
2.3Comparison between PSNR and CG19
2.3.1Images20
2.3.2Psychophysical target distinctness22
2.3.3Evaluation function24
2.3.4Experiment 125
2.3.5Experiment 226
2.3.6Statistical accuracy26
2.4Objective coder selection procedure28
2.4.1An example29
2.5Assessment of risk attitudes in rational transmission31
2.5.1Objective evaluation37
2.5.2Subjective evaluation37
Chapter 3Visual Distinctness of Prioritized Data41
3.1Introduction41
3.2Prioritization by distortion measures and by human observers44
3.2.1Distortion measures for prioritization protocols44
3.2.2Psychophysical experiments47
3.3Results and discussion49
3.3.1Experiment 149
3.3.2Experiment 251
3.3.3Experiment 352
3.3.4Experiment 454
Chapter 4Integration of Rationality and Cooperation61
4.1Introduction61
4.2Cooperative decision for bit allocation62
4.3Self-control of risk aversion attitude in progressive transmission63
4.4Integration of rationality/cooperation in unsteady-state transmission65
4.4.1Self-rewarding risk attitude67
4.4.2Self-rewarding attitude integrates cooperative action with rationality68
4.5Experimental results70
4.5.1Subjective coder evaluation70
4.5.2Objective coder evaluation72
Chapter 5Conflict and Cooperation at Very Low Bit Rates81
5.1Introduction81
5.2Acceleration of benefit gain by increasing risk attitude tolerance82
5.3A coalitional game for controlling a quantizer's risk tolerance84
5.4A family of solutions for the coalitional game86
5.5Assessment of weight functions88
5.6Experimental results91
5.6.1Subjective coder evaluation91
5.6.2Objective coder evaluation96
5.7The self-rewarding solution and the dissatisfaction solution99
5.7.1Basic properties of the dissatisfaction solution99
5.7.2Relationship between the self-rewarding solution and the dissatisfaction solution100
Chapter 6Justice in Rational Transmission105
6.1Introduction105
6.2Just quantizer formation110
6.3A priori importance of an SOT112
6.3.1SOT-restricted games: Cooperation and communication among wavelet coefficients113
6.3.2Zerotree solution for SOT-restricted games114
6.4Experimental results117
6.4.1Subjective coder evaluation117
6.4.2Objective coder evaluation122
6.5Just transmission125
Epilogue: Rationality, Cooperation, and Justice129
Appendix AFundamentals in Embedded Zerotree Wavelet Coding143
A.1Introduction143
A.2Progressive transmission144
A.3Wavelet transform; decomposition into subbands146
A.4Compression algorithm based on "zerotrees"151
A.4.1SPIHT153
Appendix BREWIC Algorithm163
B.1Algorithms for encoding/decoding an image in REWIC format163
B.2Algorithms for encoding/decoding an image in RECON format168
Appendix CInformation Theoretic Measure173
C.1Introduction173
C.2Information conservation constraint178
C.2.1Selective information gain180
C.2.2Properties of the selective information gain180
C.3Significance conservation constraint183
C.3.1Compound information gain183
C.3.2Properties of the CG185
Appendix DBest Achievable Compression Ratio189
D.1Introduction189
D.2The best achievable compression ratio190
D.3Effects of lossy compression at the best achievable compression ratio193
D.3.1Results195
Bibliography199
Index209

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