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http://dx.doi.org/10.7780/kjrs.2010.26.4.395

An Adaptive Dynamic Range Linear Stretching Method for Contrast Enhancement  

Kim, Yong-Min (Department of Civil and Environmental Engineering, Seoul National University)
Choi, Jae-Wan (Department of Civil and Environmental Engineering, Seoul National University)
Kim, Yong-Il (Department of Civil and Environmental Engineering, Seoul National University)
Publication Information
Korean Journal of Remote Sensing / v.26, no.4, 2010 , pp. 395-401 More about this Journal
Abstract
Image enhancement algorithm aims to improve the visual quality of low contrast image through eliminating the noise and blurring, increasing contrast, and raising detail. This paper proposes adaptive dynamic range linear stretching(ADRLS) algorithm based on advantages of existing methods. ADRLS method is focused on generating sub-histograms of the majority through partitioning the histogram of input image and applying adaptive scale factor. Generated sub-histograms are finally applied by linear stretching(LS) algorithm. In order to validate proposed method, it is compared with LS and histogram equalization(HE) algorithm generally used. As the result, the proposed method show to improve contrast of input image and to preserve distinct characteristics of histogram by controlling excessive change of brightness.
Keywords
Image enhancement; scale factor; sub-histogram; dynamic range;
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