Image Contrast Enhancement based on Histogram Decomposition and Weighting


Ma-Ry Kim, Min-Gyo Chung, Journal of Information Processing Systems Vol. 10, No. 3, pp. 173-0, Jun. 2009  


Keywords: Image Contrast Enhancement, Histogram Equalization, Histogram Specification
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Abstract

This paper proposes two new image contrast enhancement methods, RSWHE (Recursively Separated and Weighted Histogram Equalization) and RSWHS (Recursively Separated and Weighted Histogram Specification). RSWHE is a histogram equalization method based on histogram decomposition and weighting, whereas RSWHS is a histogram specification method based on histogram decomposition and weighting. The two proposed methods work as follows: 1) decompose an input histogram based on the image's mean brightness, 2) compute the probability for the area corresponding to each sub-histogram, 3) modify the sub-histogram by weighting it with the computed probability value, 4) lastly, perform histogram equalization (in the case of RSWHE) or histogram specification (in the case of RSWHS) on the modified sub-histograms independently. Experimental results show that RSWHE and RSWHS outperform other methods in terms of contrast enhancement and mean brightness preservation as well.


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Cite this article
[APA Style]
Kim, M. & Chung, M. (2009). Image Contrast Enhancement based on Histogram Decomposition and Weighting. Journal of Internet Computing and Services, 10(3), 173-0.

[IEEE Style]
M. Kim and M. Chung, "Image Contrast Enhancement based on Histogram Decomposition and Weighting," Journal of Internet Computing and Services, vol. 10, no. 3, pp. 173-0, 2009.

[ACM Style]
Ma-Ry Kim and Min-Gyo Chung. 2009. Image Contrast Enhancement based on Histogram Decomposition and Weighting. Journal of Internet Computing and Services, 10, 3, (2009), 173-0.