Table of Content

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.
 

Salient Features

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.