Digital Video Image Quality and Perceptual Coding

【实例简介】
The hand is quicker than the eye. In many cases, so is digital video. Maintaining image quality in bandwidth - and memory - restricted environments is quickly becoming a reality as thriving research delves ever deeper into perceptual coding techniques, which discard superfluous data that humans cann
16. Satellite Communication Engineering, Michael o Kolawole 17. Speech Processing: A Dynamic and Optimization-Oriented Approach, Li Deng 18. Multidimensional Discrete Unitary Transforms: Representation: Partitioning and Algorithms, Artyom M. Grigoryan, Sos S. Agaian, S.S. Agaian 19. High-Resolution and robust Signal Processing, Yingbo Hua, Alex B. gershman Qi 20. Domain-Specific Processors: Systems, Architectures, Modeling, and Simulation Shuvra bhattacharyya: Ed Deprettere, Jurgen Teich 21. Watermarking Systems Engineering: Enabling Digital Assets Security and Other applications, Mauro Barni, franco Bartolini 22. Biosignal and Biomedical Image Processing: MATLAB-Based Applications, Johnl semlow 23. Broadband Last mile Technologies: Access Technologies for multimedia Communications, edited by Nihil Jayant Technologies: Algorithms, S and applicati edited by Kiyoharu Aizawa, Katsuhiko Sakaue and Yasuhito suenaga 25. Medical Image Processing, Reconstruction and Restoration: Concepts and methods. iri Jan 26. Multi-Sensor Image Fusion and Its Applications, edited by Rick blum und Zheng liu 27. Advanced Image Processing in Magnetic Resonance Imaging, edited by Luigi lundini, Vincenzo positano und Muria Santarelli 28. Digital Video Image Quality and Perceptual Coding, edited br H.R. Wu and Kr. rao o 2006 by Taylor Francis Group, LLC Digital Video mage Quality and Perceptual Coding edited by H.R. Wu and K.r. rao (CRc) Taylor francis Taylor Francis Group Boca raton london new york A CRC title, part of the Taylor &r Francis imprint, a member of the Taylor &r Francis Group, the academic division of T& F Informa plc o 2006 by Taylor Francis Group, LLC Published in 2006 by CRC Press 6000 Broken Sound Park way NW, Suite 300 Boca Raton. FL 33487-2742 2006 by Taylor Francis Group, LLC CRC Press is an imprint of Taylor Francis Group No claim to original u. s. government works Printed in the United States of America on acid-free 1098765432 International Standard Book Number-10: 0-8247-2777-0(Hardcover) International Standard Book Number-13: 978-0-8247-2777-2(Hardcover) ibrary of Congress Card Number 200505 1404 This book contains information obtaincd from authentic and highly regarded sources. Reprinted material is quoted with permission, and sources are indicated. A wide variety of references are listed. Reasonable efforts have been made to publish reliable data and information, but the author and the publisher cannot assume responsibility for the validity of all materials or for the consequences of their use. No part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and coiLing, ur in any in forMatin slorage or retrieval sysleIll, without written perMission froin the publishers FurperinissiUnlophlucopyoiruseMaterialelectronicallyfrointhisworkpleaseactesswww.copyrighl.ct (http://www.copyright.comorcontacttheCopyrightClearanceCenter,Inc.(ccc)222RosewoodDrive Danvers, MA o1923, 978-750-8400. CCC is a not-for-profit organization that provides licenses and registration for a variety of users. For organizations that have been granted a photocopy license by the CCC, a separate system of payment has been arranged Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe Library of Congress Cataloging-in-Publication Data Digital video image quality and perceptual coding /edited by Henry R. Wu, K.R. Rao p Cll.--(Signal processing and Lo munications) Includes bibliographical references and index ISBN08247-27770 1. Digital video. 2. Imaging systems--image quality 3. Perception. 4. Coding theory. 5. Computer vision. I. Wu, Henry R. II. Rao, K. Ramamohan(Kamiserty Ramamohan)Ill. Series TK6680.5D552006 006696--dc22 2005051404 informal visit the Taylor francis Web site at http://www.taylorandfrancis.com and the crc press web site at is the academic division of Informa plc http://www.crepress.com o 2006 by Taylor Francis Group, LLC To those who have pioneered, inspired and persevered o 2006 by Taylor Francis Group, LLC Copyrights release for ISO/EC All the figures and tables obtained from IsO/IEC used in this book are subject to the follow- ing: The terms and definitions taken from the Figures and Tables ref. ISO/EC IS 11172 ISO/IEC11172-2. ISO/EC 11172-73. ISO/EC IS 13818-2. ISO/IEC IS 13818-6 ISO/IEC JTC1/ SC29WG11 Doc n2196. ISO/EC JTCl /SC29/G11 N3536. ISO/MPEG N2502 ISO/IEC ITC1/SC29/WG1 Doc. N1595 ISO/EC JTC SC29/WG1 1 Doc 2460. ISO/ECJTC SC29/WG1 1 DoC 3751. ISOMMPEG N2501. ISO/EC JTC-1 SC29/WG11M5804. ISO/EC JTC SC29/WG11 Recomm H 262 ISO/EC 13818-2. ISO/IEC IS 13818-1. ISO/MPEG N3746. ISO/IEC DoC N2502, ISO/EC JTC1/SC29/WGll, Doc. N2424 are reproduced with permission of Inter national Organization for Standardization, ISo. These standards can be obtained from any Iso member and from the Web site of the Iso Central Secretariat at the following address http://www.iso.org.Non-exclusivecopyrightremainswithIso The terms and definitions taken from the Figure ref. ISO/EC 14496-1: 1999, ISO/IEC 14496- 2:1999,1SO/EC14496-3:199,SOEC14496-4:2000,1SO/EC14496-5:2000, ISO/IEC14496 10 AVC: 2003 are reproduced with the permission of the International for Standardization, ISO These standards can be obtained from any Iso member and from the Web site of Iso cen tralSecretariatatthefollowingaddresswww.iso.orgNon-exclusivecopyrightwithIso.the editors, authors and Taylor and francis are grateful to Iso/EC for giving the permission About Shannon image on the front cover: The original image of Claude e. shannon, the father of information theory, was provided b Bell Laboratories of lucent Technologies. It was compressed using the JPEG coder that is information lossy. Its resolution was 4181x5685 pixels with white margins around all sides This digital image had""scanning dust The original image was cropped down to 4176x5680 for compression and the"scanning dust was removed by copying the surrounding pixels over the dust. The resultant image was used as the original"image to produce the compressed Shannon image using the perceptual lossless image coder(PLiC)as described in Chapter 13 with an implementation intended for medical image compression. The plic was benchmarked against the JPEG-LS and the JPEg-nls (d=2 The coding error images were produced between the cropped original Shannon image and the compressed images. In the error images, the red color represents a positive error, the blue a negative error and the white a zero error The black color is not actually black, it is small valued red or blue color. Comparing the two error imageS, it can be appreciated how the PliC uses the human vision model to achieve perceptual lossless coding with a higher compression ratio thar the benchmarks, whilst maintaining the visual fidelity of the original picture The top image is the "original"image that can be compressed to 3. 179 bpp using the JPEG-LS The mid-right image is the JPEG-NLS (i.e, JPEG near lossless) compressed at d=2 with bitrate 1. 424 bpp, Compression Ratio = 5.6180: 1, MSE=1.9689 and psnr= 45.1885 dB. The mid left image is the difference image between the"and that compressed by the JPEG-NLS (d=2). The bottom-right is the PLIC compressed with Bitrate=1.370 bpp, Compression Ratio 5.8394: 1. MsE=2.0420 and Psnr= 45.0303 dB. The bottom-left image is a difference image between the"original and that compressed by the PliC 0 200o by Taylor francis Group. LL Contributors Alan C. Bovik, University of Texas at Austin, Austin, Texas, U.S.A Jorge E. Caviedes, Intel Corporation, Chandler, Arizona, U.S.A Tao Chen, Panasonic Hollywood Laboratory, Universal City, California, U.S.A francois-Xavier Coudoux, Universite de valenciennes, Valenciennes, Cedex, France Philip j corriveau, Intel Media and Acoustics Perception Lab, Hillboro, Oregon U.S.A Mark D. Fairchild, Rochester Institute of Technology, Rochester, New York, U.S.A Marc G. gazalet. Universite de valenciennes. Valenciennes. Cedex france Jae Jeong Hwang, Kunsan National University, Republic of Korea Michael Isnardi, Sarnoff Corporation InC., Princeton, New Jersey, U.S.A Ryoichi Kawada, kddi R&D laboratories Inc, Japan Weisi Lin Institute for Infocomm Research. Singapore Jeffrey Lubin, Sarnoff Corporation Inc., Princeton, New Jersey, U.S.A Makoto Miyahara, Japan Advanced Institute of Science and Technology, Japan Ethan D Montag, Rochester Institute of Technology, Rochester, New York, U.S.A franco oberti, Philips research, The Netherlands Albert pica, Sarnoff Corporation Inc., Princeton, New Jersey, U.s.A K.R. Rao, University of Texas at Arlington, Arlington, Texas, U.S.A Hamid sheikh. Texas Instruments. Inc. Dallas. Texas. US.A Damian Marcellinus Tan, Royal melbourne Institute of Technology, Melbourne Victoria. australia Zhou Wang, University of Texas at Arlington, Arlington, Texas, U.S.A Stefan Winkler, Genista Corporation, Montreux, Switzerland IX o 2006 by Taylor Francis Group, LLC Digital Video image quality and Perceptual Coding Hong ren Wu, Royal Melbourne Institute of Technology, Melbourne Victoria. australia Zhenghua Yu, National Information Communication Technology Australia(NICTA) Michael Yuen, ESS Technology, InC., Beijing, China Jian Zhang, National Information Communication Technology Australia (NICTa) D 2000 by Taylor Francis Group LL Acknowledgments The editors.h.r. Wu andK.r. rao. would like to thank all authors of this handbook for their contributions efforts and dedication without which this book would not have been possible The editors and the contributors have received assistance and support from many of our colleagues that has made this handbook, Digital Video Image and Perceptual Cod ing, possible. The generous assistance and support includes valuable information and materials used in and related to the book, discussions, feedback, comments on and proof reading of various parts of the book, recommendations and suggestions that shaped the book as it is. Special thanks are due to the following persons M. Akgun Communications Research Center. Canada J F. Arnold Australian Defence Force Academy B. Baxter Intel corporation Nanyang Technological University N. Corriveau Spouse of P corriveau S. Dal Sharp laboratories of america M. frater Australian Defence Force Academy N. G. Kingsbury University of Cambridge IBMT.J Watson Research center Z Man Nanyang Technological University S.K. Mitra University of California, Santa Barbara K.N. ngan The Chinese University of Hong Kong E P Simoncelli New York University C -S. Tan Royal Melbourne Institute of Technology A. Vincent Communications Research Center, Canada M. Wada KDDI R&d laboratories B.A. Wandell Stanford University S. Wolf Institute for telecommunication sciences D. Wu Royal Melbourne Institute of Technology C. Zhan g Nanyang Technological University Z Zhe Monash University All members VQEG A. C. Bovik acknowledges the support by the National Science Foundation under grant CCR-0310973 o 2006 by Taylor Francis Group, LLC 【实例截图】
【核心代码】