A Simplified Approach to Image Processing will show you how to get the results you need, quickly and efficiently-without bogging you down in mathematical theory you don't need. You'll use this book constantly, both as a primer and resource guide. It's comprehensive, it relies extensively on practical, real-world examples and the accompanying diskette contains a complete library of working platform-independent source code.
A Simplified Approach to Image Processing covers important topics that other image processing books ignore, such as color issues, image warping and Fourier transforms. It will even help you manage the speed-vs.-quality tradeoffs that constantly present themselves in image processing.
Image processing was once limited to science, engineering and big-budget movies. Now, with today's low-cost color printers and scanners, it's moving rapidly onto millions of desktops. A Simplified Approach to Image Processing is the fastest, easiest way to learn the programming skills you'll need to be part of the image processing revolution.
1. Introduction
2. Point Processes
3. Area Processes
4. Geometric Processes
5. Frame Processes
6. Digital Halftoning
7. Image Transforms
8. Image Warping and Morphing
9. Image Compression