双区间熵重映射图像对比度增强方法.

In order to solve the problem of low contrast in the process of digital image research and application, this paper proposed a new definition of double interval entropy. Compared with traditional image entropy, it has better symmetry and can more accurately describe the spatial distribution of image information. The experimental results show that for low contrast image, the method can achieve effective contrast enhancement, while for high contrast image, the enhancement transformation of the method is relatively smooth. Therefore, the enhanced image has a good visual effect. At the same time, this study tried to use the adaptive parameter tuning, and combine the method with Gabor filter to further improve the effect of image enhancement. The results provides a new theoretical and experimental method for the related research. [ABSTRACT FROM AUTHOR]