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http://dx.doi.org/10.9717/kmms.2013.16.11.1250

An Image Contrast Enhancement Method based on Pyramid Fusion Using BBWE and MHMD  

Lee, Dong-Yul (서경대학교 컴퓨터공학과)
Kim, Jin Heon (서경대학교 컴퓨터공학과)
Publication Information
Journal of Korea Multimedia Society / v.16, no.11, 2013 , pp. 1250-1260 More about this Journal
Abstract
The contrast enhancement techniques based on Laplacian pyramid image fusion have a benefit that they can faithfully describe the image information because they combine the multiple resource images by selecting the desired pixel in each image. However, they also have some problem that the output image may contain noise, because the methods evaluate the visual information on the basis of each pixel. In this paper, an improved contrast enhancement method, which effectively suppresses the noise, using image fusion is proposed. The proposed method combines the resource images by making Laplacian pyramids generated from weight maps, which are produced by measuring the difference between the block-based local well exposedness and local homogeneity for each resource image. We showed the proposed method could produce less noisy images compared to the conventional techniques in the test for various images.
Keywords
contrast enhancement; image noise; image fusion; Laplacian pyramid;
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Times Cited By KSCI : 1  (Citation Analysis)
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