Handbook of Image and Video Processing (eBook)
1384 Seiten
Elsevier Science (Verlag)
978-0-08-053361-2 (ISBN)
This Handbook is intended to serve as the basic reference point on image and video processing, in the field, in the research laboratory, and in the classroom. Each chapter has been written by carefully selected, distinguished experts specializing in that topic and carefully reviewed by the Editor, Al Bovik, ensuring that the greatest depth of understanding be communicated to the reader. Coverage includes introductory, intermediate and advanced topics and as such, this book serves equally well as classroom textbook as reference resource.
. Provides practicing engineers and students with a highly accessible resource for learning and using image/video processing theory and algorithms
. Includes a new chapter on image processing education, which should prove invaluable for those developing or modifying their curricula
. Covers the various image and video processing standards that exist and are emerging, driving today's explosive industry
. Offers an understanding of what images are, how they are modeled, and gives an introduction to how they are perceived
. Introduces the necessary, practical background to allow engineering students to acquire and process their own digital image or video data
. Culminates with a diverse set of applications chapters, covered in sufficient depth to serve as extensible models to the reader's own potential applications
About the Editor.
Al Bovik is the Cullen Trust for Higher Education Endowed Professor at The University of Texas at Austin, where he is the Director of the Laboratory for Image and Video Engineering (LIVE). He has published over 400 technical articles in the general area of image and video processing and holds two U.S. patents. Dr. Bovik was Distinguished Lecturer of the IEEE Signal Processing Society (2000), received the IEEE Signal Processing Society Meritorious Service Award (1998), the IEEE Third Millennium Medal (2000), and twice was a two-time Honorable Mention winner of the international Pattern Recognition Society Award. He is a Fellow of the IEEE, was Editor-in-Chief, of the IEEE Transactions on Image Processing (1996-2002), has served on and continues to serve on many other professional boards and panels, and was the Founding General Chairman of the IEEE International Conference on Image Processing which was held in Austin, Texas in 1994.
* No other resource for image and video processing contains the same breadth of up-to-date coverage
* Each chapter written by one or several of the top experts working in that area
* Includes all essential mathematics, techniques, and algorithms for every type of image and video processing used by electrical engineers, computer scientists, internet developers, bioengineers, and scientists in various,
image-intensive disciplines
55% new material in the latest edition of this "e;must-have for students and practitioners of image & video processing!This Handbook is intended to serve as the basic reference point on image and video processing, in the field, in the research laboratory, and in the classroom. Each chapter has been written by carefully selected, distinguished experts specializing in that topic and carefully reviewed by the Editor, Al Bovik, ensuring that the greatest depth of understanding be communicated to the reader. Coverage includes introductory, intermediate and advanced topics and as such, this book serves equally well as classroom textbook as reference resource. * Provides practicing engineers and students with a highly accessible resource for learning and using image/video processing theory and algorithms * Includes a new chapter on image processing education, which should prove invaluable for those developing or modifying their curricula * Covers the various image and video processing standards that exist and are emerging, driving today's explosive industry * Offers an understanding of what images are, how they are modeled, and gives an introduction to how they are perceived * Introduces the necessary, practical background to allow engineering students to acquire and process their own digital image or video data * Culminates with a diverse set of applications chapters, covered in sufficient depth to serve as extensible models to the reader's own potential applications About the Editor... Al Bovik is the Cullen Trust for Higher Education Endowed Professor at The University of Texas at Austin, where he is the Director of the Laboratory for Image and Video Engineering (LIVE). He has published over 400 technical articles in the general area of image and video processing and holds two U.S. patents. Dr. Bovik was Distinguished Lecturer of the IEEE Signal Processing Society (2000), received the IEEE Signal Processing Society Meritorious Service Award (1998), the IEEE Third Millennium Medal (2000), and twice was a two-time Honorable Mention winner of the international Pattern Recognition Society Award. He is a Fellow of the IEEE, was Editor-in-Chief, of the IEEE Transactions on Image Processing (1996-2002), has served on and continues to serve on many other professional boards and panels, and was the Founding General Chairman of the IEEE International Conference on Image Processing which was held in Austin, Texas in 1994.* No other resource for image and video processing contains the same breadth of up-to-date coverage* Each chapter written by one or several of the top experts working in that area* Includes all essential mathematics, techniques, and algorithms for every type of image and video processing used by electrical engineers, computer scientists, internet developers, bioengineers, and scientists in various, image-intensive disciplines
Front Cover 1
Hand Book of Image and Video Processing 4
Copyright Page 5
Contents 14
Preface 6
Editor 8
Contributors 10
Section I: Introduction 18
Chapter 1.1 Introduction to Digital Image and Video Processing 20
Section II: Basic Image Processing Techniques 36
Chapter 2.1 Basic Gray-Level Image Processing 38
Chapter 2.2 Basic Binary Image Processing 56
Chapter 2.3 Basic Tools for Image Fourier Analysis 74
Chapter 2.4 Image Processing Education 90
Section III: Image and Video Processing 114
Image and Video Enhancement and Restoration 114
Chapter 3.1 Basic Linear Filtering with Application to Image Enhancement 116
Chapter 3.2 Nonlinear Filtering for Image Analysis and Enhancement 126
Chapter 3.3 Morphological Filtering for Image Enhancement and Feature Detection 152
Chapter 3.4 Wavelet Denoising for Image Enhancement 174
Chapter 3.5 Basic Methods for Image Restoration and Identification 184
Chapter 3.6 Regularization in Image Restoration and Reconstruction 200
Chapter 3.7 Multichannel Image Recovery 220
Chapter 3.8 Multi-Frame Image Restoration 236
Chapter 3.9 Iterative Image Restoration 252
Chapter 3.10 Motion Detection and Estimation 270
Chapter 3.11 Video Enhancement and Restoration 292
Reconstruction from Multiple Images 292
Chapter 3.12 Local and Global Stereo Methods 314
Chapter 3.13 Image Sequence Stabilization, Mosaicking, and Superresolution 326
Section IV: Image and Video Analysis 340
Image Representations and Image Models 340
Chapter 4.1 Computational Models of Early Human Vision 342
Chapter 4.2 Multiscale Image Decompositions and Wavelets 364
Chapter 4.3 Random Field Models 378
Chapter 4.4 AM-FM Image Models: Fundamental Techniques and Emerging Trends 394
Chapter 4.5 Image Noise Models 414
Chapter 4.6 Color and Multispectral Image Representation and Display 428
Chapter 4.7 Statistical Modeling of Photographic Images 448
Image and Video Classifications and Segmentation 448
Chapter 4.8 Statistical Methods for Image Segmentation 460
Chapter 4.9 Multiband Techniques for Texture Classification and Segmentation 472
Chapter 4.10 Video Segmentation 488
Chapter 4.11 2D and 3D Motion Tracking in Digital Video 508
Chapter 4.12 Adaptive and Neural Methods for Image Segmentation 536
Edge and Boundary Detection in Images 552
Chapter 4.13 Gradient and Laplacian Edge Detection 552
Partial Differential Equation-Based Image Processing 572
Chapter 4.14 Diffusion Partial Differential Equations for Edge Detection 572
Chapter 4.15 Shape Smoothing and PDEs 590
Chapter 4.16 PDEs for Morphological Scale Spaces and Eikonal Applications 604
Chapter 4.17 Geometric Active Contours for Image Segmentation 630
Algoritihms of Image Processsing 646
Chapter 4.18 Software for Image and Video Processing 646
Section V: Image Compression 658
Chapter 5.1 Lossless Coding 660
Chapter 5.2 Block Truncation Coding 678
Chapter 5.3 Fundamentals of Vector Quantization 690
Chapter 5.4 Wavelet Image Compression 706
Chapter 5.5 Lossy Image Compression: JPEG and JPEG2000 Standards 726
Chapter 5.6 The JPEG Lossless Image Compression Standards 750
Chapter 5.7 Multispectral Image Coding 764
Chapter 5.8 Recovery Methods for Postprocessing of Compressed Images 778
Section VI: Video Compression 792
Chapter 6.1 Basic Concepts and Techniques of Video Coding and the H.261 Standard 794
Chapter 6.2 Interframe Subband/Wavelet Scalable Video Coding 816
Chapter 6.3 Digital Video Transcoding 836
Chapter 6.4 MPEG-1 and MPEG-2 Video Standards 850
Chapter 6.5 MPEG-4, H.264/AVC, and MPEG-7: New Standards for the Digital Video Industry 866
Chapter 6.6 Embedded Video Codecs 894
Section VII: Image and Video Acquisition 910
Chapter 7.1 Image Scanning, Sampling, and Interpolation 912
Chapter 7.2 Video Sampling and Interpolation 928
Section VIII: Image and Video Rendering and Assessment 940
Chapter 8.1 Image Quantization, Halftoning, and Printing 942
Chapter 8.2 Perceptual Criteria for Image Quality Evaluation 956
Chapter 8.3 Structural Approaches to Image Quality Assessment 978
Chapter 8.4 Information Theoretic Approaches to Image Quality Assessment 992
Section IX: Image and Video Storage, Retrieval, and Communication 1008
Chapter 9.1 Image and Video Indexing and Retrieval 1010
Chapter 9.2 A Unified Framework for Video Summarization, Browsing, and Retrieval 1030
Chapter 9.3 Video Communication Networks 1048
Chapter 9.4 Wirless Video 1082
Chapter 9.5 Watermarking Techniques for Image Authentication and Copyright Protection 1100
Chapter 9.6 Visual Cryptography: The Combinatorial and Halftoning Frameworks 1128
Section X: Applications of Image Processing 1146
Chapter 10.1 Synthetic Aperture Radar Algorithms 1148
Chapter 10.2 Computed Tomography 1172
Chapter 10.3 Cardiac Image Processing 1192
Chapter 10.4 Computer-Aided Detection and Diagnosis in Mammography 1212
Chapter 10.5 Fingerprint Classification and Matching 1236
Chapter 10.6 Face Recognition from Still Images and Videos 1252
Chapter 10.7. How Iris Recognition Works 1268
Chapter 10.8 Exploiting Visual Information in Automatic Speech Processing 1280
Chapter 10.9 Confocal Microscopy 1308
Chapter 10.10 Computer-Assisted Microscopy 1328
Chapter 10.11 Statistical Models for Bayesian Object Recognition 1358
Index 1372
Color Plate Section 1390
Erscheint lt. Verlag | 21.7.2010 |
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Sprache | englisch |
Themenwelt | Sachbuch/Ratgeber |
Informatik ► Grafik / Design ► Digitale Bildverarbeitung | |
Mathematik / Informatik ► Informatik ► Software Entwicklung | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Naturwissenschaften ► Physik / Astronomie ► Elektrodynamik | |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Nachrichtentechnik | |
ISBN-10 | 0-08-053361-2 / 0080533612 |
ISBN-13 | 978-0-08-053361-2 / 9780080533612 |
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