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http://dx.doi.org/10.9717/kmms.2011.14.11.1365

Cognitive Contrast Enhancement of Image Using Adaptive Parameter Based on Non-Linear Masking  

Kim, Kyoung-Su (안동대학교 컴퓨터공학과)
Kim, Jong-Sung (안동대학교 정보전자공학교육과)
Lee, Cheol-Hee (안동대학교 컴퓨터공학과)
Publication Information
Journal of Korea Multimedia Society / v.14, no.11, 2011 , pp. 1365-1372 More about this Journal
Abstract
This paper proposes a cognitive contrast enhancement algorithm based on the non-linear masking to advance low cognitive contrast in dark regions of images. In order to improve brightness in dark regions of an image, we propose a new contrast enhancement algorithm based on the non-linear masking using regional adaptive parameters of an image. For performance evaluation of the proposed method, chromaticity and saturation comparison as a quantitative assessment and z-score comparison as a qualitative assessment were executed between test images and their simulated images by SSR, MSR, a conventional non-linear masking and the proposed method, respectively. As a result, the proposed method showed low chromaticity and saturation difference and improved cognitive contrast for the three methods.
Keywords
Contrast Enhancement; Non-Linear Masking;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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