Stochastic Image Processing
Stochastic Image Processing provides the first thorough treatment of Markov and hidden Markov random fields and their application to image processing. Although promoted as a promising approach for over thirty years, it has only been in the past few years that the theory and algorithms have developed...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer US
2004, 2004
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| Edition: | 1st ed. 2004 |
| Series: | Information Technology: Transmission, Processing and Storage
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Noncausal Markov Random Fields
- Causal Markov Random Fields
- Multiscale Markov Models
- Block-wise Markov Models
- Index