Handbook of Image and Video Processing, Second Edition |
Preface |
Section I - Introduction |
Chapter 1.1 |
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Introduction to Digital Image and Video Processing |
Section II - Basic Image Processing Techniques |
Chapter 2.1 |
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Basic Gray-Level Image Processing |
Chapter 2.2 |
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Basic Binary Image Processing |
Chapter 2.3 |
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Basic Tools for Image Fourier Analysis |
Chapter 2.4 |
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Image Processing Education |
Section III - Image and Video Processing |
Chapter 3.1 |
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Basic Linear Filtering with Application to Image Enhancement |
Chapter 3.2 |
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Nonlinear Filtering for Image Analysis and Enhancement |
Chapter 3.3 |
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Morphological Filtering for Image Enhancement and Feature Detection |
Chapter 3.4 |
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Wavelet Denoising for Image Enhancement |
Chapter 3.5 |
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Basic Methods for Image Restoration and Identification |
Chapter 3.6 |
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Regularization in Image Restoration and Reconstruction |
Chapter 3.7 |
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Multichannel Image Recovery |
Chapter 3.8 |
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Multi-Frame Image Restoration |
Chapter 3.9 |
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Iterative Image Restoration |
Chapter 3.10 |
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Motion Detection and Estimation |
Chapter 3.11 |
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Video Enhancement and Restoration |
Chapter 3.12 |
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Local and Global Stereo Methods |
Chapter 3.13 |
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Image Sequence Stabilization, Mosaicking, and Superresolution |
Section IV - Image and Video Analysis |
Chapter 4.1 |
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Computational Models of Early Human Vision |
Chapter 4.2 |
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Multiscale Image Decompositions and Wavelets |
Chapter 4.3 |
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Random Field Models |
Chapter 4.4 |
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AM-FM Image Models—Fundamental Techniques and Emerging Trends |
Chapter 4.5 |
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Image Noise Models |
Chapter 4.6 |
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Color and Multispectral Image Representation and Display |
Chapter 4.7 |
- |
Statistical Modeling of Photographic Images |
Chapter 4.8 |
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Statistical Methods for Image Segmentation |
Chapter 4.9 |
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Multiband Techniques for Texture Classification and Segmentation |
Chapter 4.10 |
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Video Segmentation |
Chapter 4.11 |
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2D and 3D Motion Tracking in Digital Video |
Chapter 4.12 |
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Adaptive and Neural Methods for Image Segmentation |
Chapter 4.13 |
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Gradient and Laplacian Edge Detection |
Chapter 4.14 |
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Diffusion Partial Differential Equations for Edge Detection |
Chapter 4.15 |
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Shape Smoothing and PDEs |
Chapter 4.16 |
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PDEs for Morphological Scale Spaces and Eikonal Applications |
Chapter 4.17 |
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Geometric Active Contours for Image Segmentation |
Chapter 4.18 |
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Software for Image and Video Processing |
Section V - Image Compression |
Chapter 5.1 |
- |
Lossless Coding |
Chapter 5.2 |
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Block Truncation Coding (BTC) |
Chapter 5.3 |
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Fundamentals of Vector Quantization |
Chapter 5.4 |
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Wavelet Image Compression |
Chapter 5.5 |
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Lossy Image Compression—JPEG and JPEG2000 Standards |
Chapter 5.6 |
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The JPEG Lossless Image Compression Standards |
Chapter 5.7 |
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Multispectral Image Coding |
Chapter 5.8 |
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Recovery Methods for Postprocessing of Compressed Images |
Section VI - Video Compression |
Chapter 6.1 |
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Basic Concepts and Techniques of Video Coding and the H.261 Standard |
Chapter 6.2 |
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Interframe Subband/Wavelet Scalable Video Coding |
Chapter 6.3 |
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Digital Video Transcoding |
Chapter 6.4 |
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MPEG-1 and MPEG-2 Video Standards |
Chapter 6.5 |
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MPEG-4, H.264/AVC, and MPEG-7— New Standards for the Digital Video Industry |
Chapter 6.6 |
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Embedded Video Codecs |
Section VII - Image and Video Acquisition |
Chapter 7.1 |
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Image Scanning, Sampling, and Interpolation |
Chapter 7.2 |
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Video Sampling and Interpolation |
Section VIII - Image and Video Rendering and Assessment |
Chapter 8.1 |
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Image Quantization, Halftoning, and Printing |
Chapter 8.2 |
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Perceptual Criteria for Image Quality Evaluation |
Chapter 8.3 |
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Structural Approaches to Image Quality Assessment |
Chapter 8.4 |
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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 |
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A Unified Framework for Video Summarization, Browsing, and Retrieval |
Chapter 9.3 |
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Video Communication Networks |
Chapter 9.4 |
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Joint Source-Channel Coding for Video Communications |
Chapter 9.5 |
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Watermarking Techniques for Image Authentication and Copyright Protection |
Chapter 9.6 |
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Visual Cryptography—The Combinatorial and Halftoning Frameworks |
Section X - Applications of Image Processing |
Chapter 10.1 |
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Synthetic Aperture Radar Algorithms |
Chapter 10.2 |
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Computed Tomography |
Chapter 10.3 |
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Cardiac Image Processing |
Chapter 10.4 |
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Computer-Aided Detection and Diagnosis in Mammography |
Chapter 10.5 |
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Fingerprint Classification and Matching |
Chapter 10.6 |
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Face Recognition from Still Images and Videos |
Chapter 10.7 |
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How Iris Recognition Works |
Chapter 10.8 |
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Exploiting Visual Information in Automatic Speech Processing |
Chapter 10.9 |
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Confocal Microscopy |
Chapter 10.10 |
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Computer-Assisted Microscopy |
Chapter 10.11 |
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Statistical Models of Targets and Clutter for Use in Bayesian Object Recognition |
