基于微分进化算法的图像增强方法

In image enhancement, Tubbs proposed a normalized incomplete Beta function to represent the four kinds of non-linear transform functions most commonly used. But how to adaptively define the coefficients of the Beta function is still a problem. Applying the Differential Evolution Algorithm in one image enhancement, we utilize the quickly search ability of the algorithm, adaptive variation .search .at last searches the optimal of suboptimal coefficients. It is largely saved time of acquired answer and compute complexity, therefore it is an efficient approach of image enhancement. Compared with the common image adjustment approach, our method is more efficient and powerful.