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Optical Engineering

Novel contrast enhancement approach based on fuzzy homogeneity
Author(s): Heng-Da Cheng; M. Xue; X. J. Shi; M. Zhang
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Paper Abstract

Contrast enhancement is an important issue in image processing, pattern recognition, and computer vision. There are two major kinds of techniques for contrast enhancement: indirect methods and direct methods. The indirect approach is to modify the histogram by changing the original gray levels to new values; it is not efficient and effective because it only stretches the global distribution of the intensities. The basic idea of the direct method is to define a measurement of the contrast and use it to enhance the contrast. Fuzzy logic has been widely applied to image processing since fuzzy set theory can handle the uncertainly, vagueness, and imprecision inherent in the images well. The proposed approach employs the fuzzy entropy principle and fuzzy set theory to automatically determine fuzzy membership functions and uses fuzzy homogeneity to define the contrast and enhance the image. We have conducted experiments on a variety of images, and the results have proved that the proposed method has better performance than the existing approaches.

Paper Details

Date Published: 1 April 2007
PDF: 9 pages
Opt. Eng. 46(4) 047002 doi: 10.1117/1.2721973
Published in: Optical Engineering Volume 46, Issue 4
Show Author Affiliations
Heng-Da Cheng, Utah State Univ. (United States)
M. Xue, Utah State Univ. (United States)
X. J. Shi, Utah State Univ. (United States)
M. Zhang, Utah State Univ. (United States)

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