Method of lmage Enhancement Based on Differential Evolution Algorithm
In image enhancement, Tubbs proposed a normalized incomplete Beta function to represent several kinds of commonly used non-linear transform functions to do the research on image enhancement. But how to define the coefficients of the Beta function is still a problem. The author is to apply the Differential Evolution Algorithm in the image enhancement process and utilize the quickly searching ability of the algorithm to carry out the adaptive mutation and searches until the optimal coefficients α and β were finally determined which realized the adaptive enhancement. Compared with the exhaustive attack method, it largely saved acquiring time and computing complexity, providing an efficient approach of image enhancement. Finally it proved the effectiveness of the method through software simulation experiment.
lmage enhancement Differential Evolution Algorithm Crossover Adaptive mutation
Xiangting Wang Hao Long Xiaolong Su
College of information and electrization. China University of Mining and Technology Xu Zhou, Jiang S College of Computer Science and Technology. China University of Mining and Technology Xu Zhou, Jiang
国际会议
长沙
英文
1769-1773
2010-03-13（万方平台首次上网日期，不代表论文的发表时间）