Chapter 6. Image Enhancement and Restoration
Published Online: 20 SEP 2005
DOI: 10.1002/0471745790.ch6
Copyright © 2005 John Wiley & Sons, Inc. All rights reserved.
Book Title

Image Processing: Principles and Applications
Additional Information
How to Cite
Acharya, T. and Ray, A. K. (2005) Image Enhancement and Restoration, in Image Processing: Principles and Applications, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471745790.ch6
Publication History
- Published Online: 20 SEP 2005
- Published Print: 19 AUG 2005
ISBN Information
Print ISBN: 9780471719984
Online ISBN: 9780471745792
- Summary
- Chapter
Keywords:
- histogram equalization;
- histogram hyperbolization;
- unsharp masking;
- restoration;
- inverse filtering;
- Wiener filtering
Summary
Image enhancement techniques deal with accentuation or sharpening of image features, such as contrast, boundaries, edges, etc. Image enhancement techniques both in spatial domain and frequency domain have been discussed in this chapter. Interesting spatial domain strategies like unsharp masking, spatial filtering etc have been briefly discussed. Widely used techniques like histogram equalization and histogram hyperbolization have been presented. Frequency domain strategies which include frequency domain filtering have also been discussed. The primary difference between the enhancement and restoration techniques have been brought out here. Some of the important techniques of image restoration like inverse filtering, Wiener filter, restoration of impulse noise embedded image and blurred image have been discussed in this chapter.
