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Digital Video Processing View Larger Image | A. Murat Tekalp
Prentice Hall, Paperback, Published August 1995, 526 pages, ISBN 0131900757 | List Price: $98.00
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The rapid development of products and service offering full-motion digital
video suggests that, in the coming decade, digital video will greatly
impact the computer telecommunications, and imaging industries. To help
readers ride the wave of the future, this timely volume provides, for the
first time, comprehensive coverage of the principles of digital video
processing, including leading algorithms for various applications, in a
higly accessible tutorial style.
Digital Video Processing is organized into six comprehensive sections
covering:
- Representation of digital video including modeling of video image
formation and spatio-temporal sampling.
- Two-dimensional motion estimation.
- Three-dimmensional motion estimation and segmentation.
- Video filtering.
- Still-image compression.
- Video compression.
The author carefully develops detailed treatment of the mathematical principles
behind representation of digital video as a form of computer data and
processing of this date for 2-D and 3-D motion estimation, digital video
standards conversion, frame-rate conversion, de-interlacing, noise filtering,
resolution enhancement, and motion-based segmentation. In addition,
Tekalp covers the fundamentals of image and video compression, and the
emerging world standards for various image and video communication
applications, including high-definition TV, multimedia, video-conferencing,
videophone, and moblie image communications.
Table of Contents
- Representation of Digital Video
- Basics of Video
- Time-varying Image Formation Models
- Spatio-Temporal Sampling
- Sampling Structure Conversion
- Two-Dimensional Motion Estimation
- Optical Flow Methods
- Block-Based Methods
- Pel-Recursive Methods
- Bayesian Methods
- Methods using Point Correspondences
- Optical Flow and Direct Methods
- Motion Segmentation
- Stereo and Motion Tracking
- Video Filtering
- Motion Compensated Filtering
- Noise Filtering
- Restoration
- Standards Conversion
- Superresolution
- Still Image Compression
- Lossless Compression
- DPCM and Transform Coding
- Still Image Compression Standards
- Vectore Quantization, Subband Coding and other Methods
- Video Compression
- Interframe Compression Methods
- Video Compression Standards
- Model-based Coding
- Digital Video Systems
- Appendices
- Markov and Gibbs Random Fields
- Basics of Segmentation
- Kalman Filtering
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