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Prentice Hall

Engineering

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Simplified Approach to Image Processing, A: Classical and Modern Techniques in C
Randy Crane
Hewlett-Packard Professional Books

ISBN-10: 0132264161
ISBN-13:  9780132264167

Publisher:  Prentice Hall
Copyright:  1997
Format:  Paper; 336 pp
Published:  08/06/1996
Status: Instock


Suggested retail price: $78.67
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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.

  • Platform independant code. This insures that the reader can use the code no matter what computer or copier is being used.
  • Treatment of color image processing. This book explains the need to convert from RGB to HSI colorspace.
  • Presentation of Image Compression Techniques. Covers the older, current, and up-and-coming techniques.
  • Presentation of Image Warping and Morphing Techniques.
    • Spatial transforms, Meshwarp algorithm, Field morphing algorithm.
  • The Bibliography is a collection of highly used references.
  • Appendix of Image processing resources lists organizations, conferences, publications, and sources of processing software and hardware.

(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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