数字视觉信息处理与通信在我们的日常生活中处处可见，并且广泛地应用于数码照相手机或PDA等手持设配中。这本手册深入探讨了图像与视频处理的基本要点，包含了研究实验室中和课堂上涉及的各种概念。每一章的内容都经过仔细的选择与专家审阅，并由本书的编者AIan Bovik进行了精心的整理，以保证读者可以最大程度地理解相关的概念。本书包含了图像与视频处理的基础、中级和高级主题，可作为教学用书与参考资料。

　　 本书介绍了图像和视频处理方面的基本原理、主要技术和典型应用，相关的内容包括图像与视频的增强和恢复，分类和分割，图像边缘检测，图像处理算法，图像压缩、存储、重取和通信，以及图像处理的应用。全书按内容聘请有关专家编写，涉及范围广、内容新、质量高，反映了最新的研究成果。本书的下册主要针对图像压缩、视频压缩、图像与视频获取、图像与视频的存取和通信、图像处理的应用等内容进行了深入的介绍。

本书可作为学习图像和视频处理课程的本科生、研究生的教材与参考用书，并且对于从事图像和视频方面研究的人员也是一本很好的参考材料。

SECTION I Introduction

1.1 Introduction to Digital Image and Video Processing Alan C.Bovik.

SECTION II Basic Image PrOcessing Techniques

2.1 Basic Gray-LevelImage Processing Alan C.Bovik

2.2 Basic Binarv Image Processing Alan C.Bovik.

2.3 Basic Tools for Image Fourier Analysis Alan C.Bovik

2.4 Image Processing Education L，rues Rajashekar,Alan C.Bovik Daniel sage,Michaef Unser, Unser，lina J. Karam, and Reginald L. Lagendiik.

SECTION III Image and Video Processing

Image and Video Enhancement and Restoration

3.1 Basic IJinear Filtering with Application to Image Enhancement Alan C.Bovik and Scott T. Acton

3.2 Nonlinear Filtering fbr Image Analysis and Enhancement Gonzalo R.Arce.

Jan Bacca，and，Jose L. Paredes.

3.3 Morphological Filtering flor Image Enhancement and Feature Detection Petros Maragos

3.4 Wavelet Denooising for Image Enhancement DDng Wei，Umesh Raiashekar. and Alan C.Bovik

3.5 Basic Methods for Image Restoration and Identification Reginald L. Lagendiik and Jan Biemond

3.6 Regularization in Image Restoration and Reconstruction W Clem Karl

3.7 Multichannel Image Recovery Nikoles p. Galatsanos. Miles N. Wernick， Aggelos K. Katsaggelos, and Rafael Molina

3.8 Multi-Frame Image Restoration Timothy J.Schula

3.9 IteratiVe Image RestoratiOil Aggelos K. Katsaggelos and Chun-Jen Tsai

3.10 Motion Detection and Estimation Janusz Konrad.

3.11 Video Enhancement and Restoration Reginald L. Lagendijk, Peter M.B. van Roosmalen, Jan Biemond, Andrei Rares, and Marcel J.T.

Reindesr Reconstruction from Multiple lmatges

3.12 Local and Global Stereo Methods Yang Liu and J.K. Aggarwal

3.13 Image Sequence Stabilization，Mosaicking，and Superresolution Rama Chellappa，S.Srinivasan，G.Aggarwal and A.Veeraraghavan

SECTION IV Image and Video Analysis

Image Representations and Image Models

4.1 Computational Models of Early Human Vision Lawrence K. Cormack

4.2 Multiscale Image Decompositions and Wavelets Pierre Moulin

4.3 Random Field Models P. Fieguth, and J. Zhang

4.4 AM-FM Image Models: Fundamental Techniques and Emerging Trends Joseph P. Havlicek, Peter C Tay, and Alan C Bovik

4.5 Image Noise Models Charles Boncelet

4.6 Color and Multispectral Image Representation and Display H.J. Trussell

4.7 Statistical Modeling of Photographic Images Eero P. Simoncelli

Image and Video Classifications and Segmentation

4.8 Statistical Methods for Image Segmentation Sridhar Lakshmanan

4.9 Multiband Techniques, Texture Classification, and Segmentation B.5. Manjunath, G.M. Halo Wei-Ying Ma, and S.D. Newsam

4.10 Video Segmentation A. Murat Tekalp

4.11 2D and 3D Motion Tracking in Digital Video Georgios Stamou, Michail Krinidis, Evangelos Loutas, Nikos Nikolaidis, and loannis Pitas

4.12 Adaptive and Neural Methods for Image Segmentation Joy’deep Ghosh Edge and

Boundary Detection in Images

4.13 Gradient and Laplacian Edge Detection Phillip A. Mlsna and Jeffrey H. Rodriguez

Partial Differential Equation-Based Image Processing

4.14 Diffusion Partial Differential Equations for Edge Detection Scott T. Acton

4.15 Shape Smooothing and PDEs Frederic Guichard, Lionel Moisan, and Jean-Michel Morel

4.16 PDEs for Morphological Scale Spaces and Eikonal Applications Petros Maragos

4.17 Geometric Active Contours for Image Segmentation Vicent Caselles, Ron Kimmel,and Guillermo Sapiro

Algorithms for Image Processing

4.18 Software for Image and Video Processing K. Clint Slatton and Brian L. Evans

下册简目

SECTION V Image Compression

SECTION VI Video Compression

SECTION VII Image and Video Acquisition

SECTION VIII Image and Video Rendering and Assessment

SECTION IX Image and Video Storage, Retrieval, and Communication

SECTION X Applications of Image Processing