Handbook of Image and Video Processing
- 47h 13m
- Alan C. Bovik (ed)
- Elsevier Science and Technology Books, Inc.
- 2005
The Handbook of Image and Video Processing contains a comprehensive and highly accessible presentation of all essential mathematics, techniques, and algorithms for every type of image and video processing used by scientists and engineers. The timely volume will provide both the novice and the seasoned practitioner with the necessary information and skills to be able to develop algorithms and applications for multimedia, digital imaging, digital video, telecommunications, and World Wide Web industries. Handbook of Image and Video Processing will also serve as a textbook for courses such as digital image processing, digital image analysis, digital video, video communications, multimedia, and biomedical image processing in the departments of electrical and computer engineering and computer science.
Key features:
- No other resource contains the same breadth of up-to-date coverage
- Contains over 100 example algorithm illustrations
- Contains a series of extremely accessible tutorial chapters
- Indispensable for researchers in telecommunications, Internet applications, multimedia, and nearly every branch of science
In this Book
-
Introduction to Digital Image and Video Processing
-
Basic Gray-Level Image Processing
-
Basic Binary Image Processing
-
Basic Tools for Image Fourier Analysis
-
Image Processing Education
-
Basic Linear Filtering with Application to Image Enhancement
-
Nonlinear Filtering for Image Analysis and Enhancement
-
Morphological Filtering for Image Enhancement and Feature Detection
-
Wavelet Denoising for Image Enhancement
-
Basic Methods for Image Restoration and Identification
-
Regularization in Image Restoration and Reconstruction
-
Multichannel Image Recovery
-
Multi-Frame Image Restoration
-
Iterative Image Restoration
-
Motion Detection and Estimation
-
Video Enhancement and Restoration
-
Local and Global Stereo Methods
-
Image Sequence Stabilization, Mosaicking, and Superresolution
-
Computational Models of Early Human Vision
-
Multiscale Image Decompositions and Wavelets
-
Random Field Models
-
AM-FM Image Models—Fundamental Techniques and Emerging Trends
-
Image Noise Models
-
Color and Multispectral Image Representation and Display
-
Statistical Modeling of Photographic Images
-
Statistical Methods for Image Segmentation
-
Multiband Techniques for Texture Classification and Segmentation
-
Video Segmentation
-
2D and 3D Motion Tracking in Digital Video
-
Adaptive and Neural Methods for Image Segmentation
-
Gradient and Laplacian Edge Detection
-
Diffusion Partial Differential Equations for Edge Detection
-
Shape Smoothing and PDEs
-
PDEs for Morphological Scale Spaces and Eikonal Applications
-
Geometric Active Contours for Image Segmentation
-
Software for Image and Video Processing
-
Lossless Coding
-
Block Truncation Coding (BTC)
-
Fundamentals of Vector Quantization
-
Wavelet Image Compression
-
Lossy Image Compression—JPEG and JPEG2000 Standards
-
The JPEG Lossless Image Compression Standards
-
Multispectral Image Coding
-
Recovery Methods for Postprocessing of Compressed Images
-
Basic Concepts and Techniques of Video Coding and the H.261 Standard
-
Interframe Subband/Wavelet Scalable Video Coding
-
Digital Video Transcoding
-
MPEG-1 and MPEG-2 Video Standards
-
MPEG-4, H.264/AVC, and MPEG-7— New Standards for the Digital Video Industry
-
Embedded Video Codecs
-
Image Scanning, Sampling, and Interpolation
-
Video Sampling and Interpolation
-
Image Quantization, Halftoning, and Printing
-
Perceptual Criteria for Image Quality Evaluation
-
Structural Approaches to Image Quality Assessment
-
Information Theoretic Approaches to Image Quality Assessment
-
Image and Video Indexing and Retrieval
-
A Unified Framework for Video Summarization, Browsing, and Retrieval
-
Video Communication Networks
-
Joint Source-Channel Coding for Video Communications
-
Watermarking Techniques for Image Authentication and Copyright Protection
-
Visual Cryptography—The Combinatorial and Halftoning Frameworks
-
Synthetic Aperture Radar Algorithms
-
Computed Tomography
-
Cardiac Image Processing
-
Computer-Aided Detection and Diagnosis in Mammography
-
Fingerprint Classification and Matching
-
Face Recognition from Still Images and Videos
-
How Iris Recognition Works
-
Exploiting Visual Information in Automatic Speech Processing
-
Confocal Microscopy
-
Computer-Assisted Microscopy
-
Statistical Models of Targets and Clutter for Use in Bayesian Object Recognition
-
Backmatter
SHOW MORE
FREE ACCESS
