Main Fundamentals of Digital Image Processing
Book cover Fundamentals of Digital Image Processing

Fundamentals of Digital Image Processing

Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for the subject. Includes a comprehensive chapter on stochastic models for digital image processing. Covers aspects of image representation including luminance, color, spatial and temporal properties of vision, and digitization. Explores various image processing techniques. Discusses algorithm development (software/firmware) for image transforms, enhancement, reconstruction, and image coding.

Table of Contents
Introduction.
1. Two Dimensional Systems and Mathematical Preliminaries.
2. Image Perception.
3. Image Sampling and Quantization.
4. Image Transforms.
5. Image Representation by Stochastic Models.
6. Image Enhancement.
7. Image Filtering and Restoration.
8. Image Analysis and Computer Vision.
9. Image Reconstruction From Projections.
10. Image Data Compression.
Year:
1989
Edition:
1st
Publisher:
Prentice Hall
Language:
english
Pages:
569 / 592
ISBN 10:
0133361659
ISBN 13:
9780133361650
Series:
Prentice Hall Information And System Sciences Series
File:
PDF, 34.49 MB
Download (pdf, 34.49 MB)

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