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Contrast enhancement based on a novel homogeneity measurement

✍ 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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✦ 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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