Naturalness preservation image contrast enhancement via histogram modification

Qi-Chong Tian; Laurent D. Cohen

doi:10.1117/12.2302955

10 April 2018 Naturalness preservation image contrast enhancement via histogram modification

Qi-Chong Tian, Laurent D. Cohen

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106152U (2018) https://doi.org/10.1117/12.2302955
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

Contrast enhancement is a technique for enhancing image contrast to obtain better visual quality. Since many existing contrast enhancement algorithms usually produce over-enhanced results, the naturalness preservation is needed to be considered in the framework of image contrast enhancement. This paper proposes a naturalness preservation contrast enhancement method, which adopts the histogram matching to improve the contrast and uses the image quality assessment to automatically select the optimal target histogram. The contrast improvement and the naturalness preservation are both considered in the target histogram, so this method can avoid the over-enhancement problem. In the proposed method, the optimal target histogram is a weighted sum of the original histogram, the uniform histogram, and the Gaussian-shaped histogram. Then the structural metric and the statistical naturalness metric are used to determine the weights of corresponding histograms. At last, the contrast-enhanced image is obtained via matching the optimal target histogram. The experiments demonstrate the proposed method outperforms the compared histogram-based contrast enhancement algorithms.

Citation Download Citation

Qi-Chong Tian and Laurent D. Cohen "Naturalness preservation image contrast enhancement via histogram modification", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106152U (10 April 2018); https://doi.org/10.1117/12.2302955

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