Handbook of image and video processing
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.
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| Hlavní autor: | |
|---|---|
| Médium: | E-kniha Kniha |
| Jazyk: | angličtina |
| Vydáno: |
Amsterdam ; Boston ; Tokyo
Elsevier Academic Press
2005
Elsevier Science & Technology Academic Press |
| Vydání: | 2 |
| Edice: | Communications, Networking and Multimedia |
| Témata: | |
| ISBN: | 0121197921, 9780121197926 |
| On-line přístup: | Získat plný text |
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- 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
- 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
- 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