A simplified approach to image processing : classical and modern techniques in C

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Bibliographic Information

A simplified approach to image processing : classical and modern techniques in C

Randy Crane

(Hewlett-Packard professional books)

Prentice Hall PTR, [1996], c1997

Available at  / 6 libraries

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Note

Includes bibliographical references (p. 307-312) and index

Description and Table of Contents

Description

This book presents the underlying algorithms used in all the basic of the advanced image processing techniques. The use of these techniques used to be limited to signal processing engineers and scientists. The decreasing cost of computer power and increasing quality of computer graphics has allowed image processing techniques to be used in almost all professional communities.

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.

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