Volume 42 Issue 3
Mar.  2016
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GAO Ming, QIN Shiyin. Correction of contrast distortion image based on nonlinear transform of histogram[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(3): 514-521. doi: 10.13700/j.bh.1001-5965.2015.0168(in Chinese)
Citation: GAO Ming, QIN Shiyin. Correction of contrast distortion image based on nonlinear transform of histogram[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(3): 514-521. doi: 10.13700/j.bh.1001-5965.2015.0168(in Chinese)

Correction of contrast distortion image based on nonlinear transform of histogram

doi: 10.13700/j.bh.1001-5965.2015.0168
Funds:  National Natural Science Foundation of China (61273350, U1435220)
  • Received Date: 24 Mar 2015
  • Publish Date: 20 Mar 2016
  • In the practical imaging, the image contrast is distorted due to influence of multi-factors, which degrades image quality greatly. A contrast correction method is presented based on nonlinear transform of histogram and parameter optimization in order to improve image quality and enhance the visual effect. Firstly, in view of the limitation of conventional histogram equalization method, a nonlinear transform model of histogram was established based on the prior constraints of image histogram through the analysis of human visual perception characteristics. Then the parameters of transform model are optimized with the evolutionary searching of genetic algorithms to achieve optimal corrective effect so that a high performance contrast distortion correction algorithm emerged. A series of correction experimental results for real images with severe contrast distortion from different scenes demonstrate that the proposed algorithm outperforms the conventional correction methods in both of objective quality assessment and subjective visual effect and is provided with distinct advantages.

     

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