Image Processing for Computer Graphics and Vision
Stochastic image models and statistical methods for image processing are covered, as is probability theory for image processing, and a focus on applications in image analysis and computer vision.
Main Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
London
Springer London
2009, 2009
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Edition: | 2nd ed. 2009 |
Series: | Texts in Computer Science
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Signal Theory
- Random Processes
- Fundamentals of Color
- Color Systems
- Digital Images
- Operations on Images
- Sampling and Reconstruction
- Multiscale Analysis and Wavelets
- Probabilistic Image Models
- Color Quantization
- Digital Halftoning
- Image Compression
- Combining Images
- Warping and Morphing
- Image Systems