Cover image for Handbook of Image and Video Processing.
Handbook of Image and Video Processing.
Title:
Handbook of Image and Video Processing.
Author:
Bovik, Alan C.
ISBN:
9780080533612
Personal Author:
Edition:
2nd ed.
Physical Description:
1 online resource (1429 pages)
Series:
Communications, Networking and Multimedia
Contents:
Front Cover -- Hand Book of Image and Video Processing -- Copyright Page -- Contents -- Preface -- Editor -- Contributors -- Section I: Introduction -- Chapter 1.1 Introduction to Digital Image and Video Processing -- Section II: Basic Image Processing Techniques -- Chapter 2.1 Basic Gray-Level Image Processing -- Chapter 2.2 Basic Binary Image Processing -- Chapter 2.3 Basic Tools for Image Fourier Analysis -- Chapter 2.4 Image Processing Education -- Section III: Image and Video Processing -- Image and Video Enhancement and Restoration -- Chapter 3.1 Basic Linear Filtering with Application to Image Enhancement -- Chapter 3.2 Nonlinear Filtering for Image Analysis and Enhancement -- Chapter 3.3 Morphological Filtering for Image Enhancement and Feature Detection -- Chapter 3.4 Wavelet Denoising for Image Enhancement -- Chapter 3.5 Basic Methods for Image Restoration and Identification -- Chapter 3.6 Regularization in Image Restoration and Reconstruction -- Chapter 3.7 Multichannel Image Recovery -- Chapter 3.8 Multi-Frame Image Restoration -- Chapter 3.9 Iterative Image Restoration -- Chapter 3.10 Motion Detection and Estimation -- Chapter 3.11 Video Enhancement and Restoration -- Reconstruction from Multiple Images -- Chapter 3.12 Local and Global Stereo Methods -- Chapter 3.13 Image Sequence Stabilization, Mosaicking, and Superresolution -- Section IV: Image and Video Analysis -- Image Representations and Image Models -- Chapter 4.1 Computational Models of Early Human Vision -- Chapter 4.2 Multiscale Image Decompositions and Wavelets -- Chapter 4.3 Random Field Models -- Chapter 4.4 AM-FM Image Models: Fundamental Techniques and Emerging Trends -- Chapter 4.5 Image Noise Models -- Chapter 4.6 Color and Multispectral Image Representation and Display -- Chapter 4.7 Statistical Modeling of Photographic Images.

Image and Video Classifications and Segmentation -- Chapter 4.8 Statistical Methods for Image Segmentation -- Chapter 4.9 Multiband Techniques for Texture Classification and Segmentation -- Chapter 4.10 Video Segmentation -- Chapter 4.11 2D and 3D Motion Tracking in Digital Video -- Chapter 4.12 Adaptive and Neural Methods for Image Segmentation -- Edge and Boundary Detection in Images -- Chapter 4.13 Gradient and Laplacian Edge Detection -- Partial Differential Equation-Based Image Processing -- Chapter 4.14 Diffusion Partial Differential Equations for Edge Detection -- Chapter 4.15 Shape Smoothing and PDEs -- Chapter 4.16 PDEs for Morphological Scale Spaces and Eikonal Applications -- Chapter 4.17 Geometric Active Contours for Image Segmentation -- Algoritihms of Image Processsing -- Chapter 4.18 Software for Image and Video Processing -- Section V: Image Compression -- Chapter 5.1 Lossless Coding -- Chapter 5.2 Block Truncation Coding -- Chapter 5.3 Fundamentals of Vector Quantization -- Chapter 5.4 Wavelet Image Compression -- Chapter 5.5 Lossy Image Compression: JPEG and JPEG2000 Standards -- Chapter 5.6 The JPEG Lossless Image Compression Standards -- Chapter 5.7 Multispectral Image Coding -- Chapter 5.8 Recovery Methods for Postprocessing of Compressed Images -- Section VI: Video Compression -- Chapter 6.1 Basic Concepts and Techniques of Video Coding and the H.261 Standard -- Chapter 6.2 Interframe Subband/Wavelet Scalable Video Coding -- Chapter 6.3 Digital Video Transcoding -- Chapter 6.4 MPEG-1 and MPEG-2 Video Standards -- Chapter 6.5 MPEG-4, H.264/AVC, and MPEG-7: New Standards for the Digital Video Industry -- Chapter 6.6 Embedded Video Codecs -- Section VII: Image and Video Acquisition -- Chapter 7.1 Image Scanning, Sampling, and Interpolation -- Chapter 7.2 Video Sampling and Interpolation.

Section VIII: Image and Video Rendering and Assessment -- Chapter 8.1 Image Quantization, Halftoning, and Printing -- Chapter 8.2 Perceptual Criteria for Image Quality Evaluation -- Chapter 8.3 Structural Approaches to Image Quality Assessment -- Chapter 8.4 Information Theoretic Approaches to Image Quality Assessment -- Section IX: Image and Video Storage, Retrieval, and Communication -- Chapter 9.1 Image and Video Indexing and Retrieval -- Chapter 9.2 A Unified Framework for Video Summarization, Browsing, and Retrieval -- Chapter 9.3 Video Communication Networks -- Chapter 9.4 Wirless Video -- Chapter 9.5 Watermarking Techniques for Image Authentication and Copyright Protection -- Chapter 9.6 Visual Cryptography: The Combinatorial and Halftoning Frameworks -- Section X: Applications of Image Processing -- Chapter 10.1 Synthetic Aperture Radar Algorithms -- Chapter 10.2 Computed Tomography -- Chapter 10.3 Cardiac Image Processing -- Chapter 10.4 Computer-Aided Detection and Diagnosis in Mammography -- Chapter 10.5 Fingerprint Classification and Matching -- Chapter 10.6 Face Recognition from Still Images and Videos -- Chapter 10.7. How Iris Recognition Works -- Chapter 10.8 Exploiting Visual Information in Automatic Speech Processing -- Chapter 10.9 Confocal Microscopy -- Chapter 10.10 Computer-Assisted Microscopy -- Chapter 10.11 Statistical Models for Bayesian Object Recognition -- Index -- Color Plate Section.
Abstract:
55% new material in the latest edition of this "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.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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