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Simplified Approach to Image Processing, A: Classical and Modern Techniques in C
ISBN-10: 0-13-226416-1
ISBN-13: 978-0-13-226416-7
Published by Prentice Hall
© 1997
Pub. Date: Aug 6, 1996
Format: Paper
Table of Contents
(NOTE: Each chapter ends with a 'For further study' section.)
1. Introduction.
What is image processing? Visual perception. Color representation. Image capture, representation and storage. Image output. The software.
2. Point Processes.
Arithmetic operations. XOR. Look-up tables. Histograms. Contrast Stretching. Intensity transforms.
3. Area Processes.
Convolutions. Blurring. Sharpening. Edge detection. Median filtering. Min/max filtering.
4. Geometric Processes.
Forward and inverse mapping. Interpolation. Scaling. Rotation. Translation. Mirroring.
5. Frame Processes.
Addition. Subtraction. And/or. Average.
6. Image Halftoning.
Introduction to halftoning. Patterning. Dithering. Error diffusion. Beyond bilevel output. Practical considerations when halftoning.
7. Image Transforms.
Introduction to the frequency domain. Discrete fourier transform. Filtering in the frequency domain. Discrete cosine transform.
8. Image Warping and Morphing.
Introduction to 2-dimensional morphing. Spatial transformations. Meshwarp algorithm. Field warping algorithm. Cross dissolve. Practical considerations when morphing.
9. Image Compression.
Introduction to image compression. Run-length encoding. Huffman coding. Modified Huffman coding. Modified READ. Limpel Ziv Welch algorithm. Arithmetic coding. JPEG. Other state-of-the-art image compression methods.
Appendix: Image Processing Resources.
Glossary.
Bibliography.
Index.
