广西师范大学学报（自然科学版）2017，Vol.35Issue(4)：17-23,7.DOI:10.16088/j.issn.1001-6600.2017.04.003
基于遗传自适应的维纳滤波图像去模糊算法
The Adaptive Wiener Filtering Deblurring Based on the Genetic Algorithm
摘要
Abstract
In order to remove the blur of uniform linear motion caused by the camera shake or the motion of the object itself,on the basis of the theory of Wiener filter image restoration and genetic algorithm, an adaptive Wiener filter based on genetic algorithm for deblurring is proposed.The genetic algorithm is used to adaptively optimize the k value of the regularization term,which could achieve the best image restoration effect from the fitness function.The experimental results show that this method could select the appropriate adaptive-degree-function,remove the motion blur of the real image as much as possible, and the effect of image restoration is better than that of Wiener filtering algorithm,which has some practical significance.关键词
维纳滤波/遗传算法/图像去模糊Key words
Wiener filtering/genetic algorithm/image deblurring分类
信息技术与安全科学引用本文复制引用
梁晓萍,罗晓曙..基于遗传自适应的维纳滤波图像去模糊算法[J].广西师范大学学报（自然科学版）,2017,35(4):17-23,7.基金项目
国家自然科学基金(21327007) （21327007）
广西研究生教育创新计划 (YCSZ2015101) （YCSZ2015101）
