Title :
No reference measurement of contrast distortion and optimal contrast enhancement
Author :
Hongteng Xu ; Guangtao Zhai ; Xiaokang Yang
Author_Institution :
Shanghai Key Lab. of Digital Media, Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
In this paper, a novel histogram-based model for contrast enhancement is proposed. Based on our analysis about the relationships of histogram with contrast, we establish a model which 1) achieves contrast enhancement by an optimal transform of histogram, 2) gives two metrics called contrast gain and nonlinear-ity of transform to measure the strength of enhancement and the seriousness of distortion caused by enhancement respectively. The ratio of the two proposed metrics not only gives a guidance for the configuration of parameter in the algorithm, but also provides a useful measurement for contrast distortion, which can be a potential solution to judge whether the contrast of an image is optimal. Experimental results show the superior performances of the proposed algorithm in image enhancement.
Keywords :
distortion; image enhancement; contrast distortion; contrast gain; histogram optimal transform; histogram-based model; image enhancement; optimal contrast enhancement; parameter configuration; transform nonlinearity; Computational modeling; Distortion measurement; Histograms; Linear programming; Transforms; Visual effects;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4