Contrast enhancement based on a novel homogeneity measurement
β Scribed by H.D. Cheng; Mei Xue; X.J. Shi
- Book ID
- 104161689
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 867 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0031-3203
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β¦ Synopsis
Contrast enhancement is a very important issue in image processing, pattern recognition and computer vision. These are mainly: (1) indirect method of contrast enhancement and (2) direct method of contrast enhancement. The indirect method is to modify the histogram, which is not e cient and e ective, since it only stretches the global distribution of the intensity. The direct method is to deΓΏne a measurement of the contrast and use it to enhance the contrast. In this paper, we propose a novel homogeneity measurement and utilize it to deΓΏne and enhance the contrast. The proposed approach uses both the local and global information. We have experimented the proposed algorithm on a variety of images, and the results prove that the proposed method has better performance than the existing methods, no over-enhancement/under-enhancement and more robust.
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