Handbook of Image and Video Processing, 2/e (Hardcover)

Description:

55% new material in the latest edition of this “must-have” for students and practitioners of image & video processing!

Digital visual information processing and communication pervade nearly every aspect of our daily experience, and have even invaded our pockets in the form of camera-equipped cell phones and PDAs. 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 and 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.

 

Table of Contents:

Preface
Editor
Contributors

SECTION 1  Introduction
1.1  Intorduction to Digital Image and Video Processing  

SECTION 2 Basic Image Procession Techniques
2.1  Basic Gray-Level Image Procession  
2.2  Basic inary Image Procession  
2.3  Basic Tools for Image Fourier Analysis  
2.4  Image Processing Education

SECTION 3  Image and Video Processing

Image and Video Enhancement and Restoration
3.1  Basic Linear Filtering with Application to Image Enhancement
3.2  Nonlinear Filtering for Image Analysis and Enhancement
3.3  Morphological Filtering for Image Enhancement and Feature Detection
3.4  Wavelet Denoising for Image Enhancement
3.5  Basic Methods for Image Restoration and Identification
3.6  Regularization in Image Restoration and Reconstruction
3.7  Multichannel Image Recovery
3.8  Multi-Frame Image Restoration
3.9  Iterative Image Restoration
3.10 Motion Detection and Estimation
3.11 Video Enhancement and Restoration

Reconstruction from Multiple Images
3.12 Local and Global Stereo Methods
3.13 Image Sequence Stabilization, Mosaicking, and Superresolution

SECTION 4  Image and Video Analysis

Image Representations and Image Models
4.1  Computational Models of Early Human Vision
4.2  Multiscale Image Decompositions and Wavelets
4.3  Random Field Models
4.4  AM-FM Image Models:  Fundamental Techniques and Emerging Trends
4.5  Image Noise Models
4.6  Color and Multispectral Image Representation and Display
4.7  Statistical Modeling of Photographic Images

Image and Video Classifications and Segmentation
4.8  Statistical Methods for Image Segmentation
4.9  Multiband Techniqus, Texture Classification, and Segmentation
4.10 Video Segmentation
4.11 2D and 3D Motion Tracking in Digital Video
4.12 Adaptive and Neural Methods for Image Segmentation

Edge and Boundary Detection in Images
4.13 Gradient and Laplacian Edge Detection

Partial Differential Equation-Based Image Processing
4.14 Diffusion Partial Differential Equations for Edge Detection
4.15 Shape Smoothing and PDEs
4.16 PDEs for Morphological Scale Spces and Eikonal Applications
4.17 Geometric Active Contours for Image Segmentation

Algorithms for Image Processing
4.18 Software for Image and Video Processing

SECTION 5  Image Compression
5.1  Lossless Coding
5.2  Block Truncation Coding
5.3  Fundamentals of Vector Quantization
5.4  Wavelet Image Compression
5.5  Lossy Image Compression:  The JPEG and JPEG2000 Standards
5.6  The JPEG Lossless Image Compression Srandards
5.7  Multispectral Image Coding
5.8  Recover Methods for Post Processing for Compressed Images

SECTION 6  Video Compression
6.1  Basic Concepts and Techniqus of Video Coding and the H.261 Standard
6.2  Interframe Subband/Wavelet Scalable Video Coding
6.3  Digital Video Transcoding
6.4  MPEG-1 and MPEG-2 Video Standards
6.5  MPEG-4, H.264/AVC, and MPEG-7: New Standards for the Digital Video Industry
6.6  Embedded Video Codes

SECTION 7  Image and Video Acquisition
7.1  Image Scanning, Sampling, and Interpolation
7.2  Video Sampling and Interpolation

SECTION 8  Image and Video Rendering and Assessment
8.1  Image Quantization, Halftoning, and Printing
8.2  Perceptual Criteria for Image Quality Evaluation
8.3  Structural Approaches to Image Quality Assessment
8.4  Information Theoretic Approaches to Image Quality Assessment

SECTION 9  Image and Video Storage, Retrieval, and Communication
9.1  Image and Video Indexing and Retrieval
9.2  A Unified Framework for Video Summerization Browsing, and Retrieval
9.3  Video Communication Networks
9.4  Wireless Video
9.5  Watermarking Techniques for Image Authentication and Copyright Protection
9.6  Visual Cryptography: The Combinatorial and Halftonning Frameworks

SECTION 10  Applications of Image Processing
10.1 Synthetic Aperture Radar Algorithms
10.2 Computed Tomography
10.3 Cardiac Image Processing
10.4 Computer-Aided Detection and Diagnosis in Mammography
10.5 Fingerprint Classification and Matching
10.6 Face Recognition from Still Images and Videos
10.7 How Iris Recognition Works
10.8 Exploiting Visual Information in Automatic Speech Processing
10.9 Confocal Microscopy
10.10Computer-Assisted Microscopy
10.11Statistical Models for Bayesian Object Recognition

Index