A Fast BPNN Based Image Deblurring Method
This paper proposes a fast deblurring method based on back propagation neural networks (BPNN),in which the symmetry of blur function is utilized to reduce the size of network.In the image block used to be training vector,the pixels that have the same distance with centrral pixel are set the same weight in BPNN.This set of weight is realized by adding all the pxiels that have the same distance to be one input data of BPNN.Comparing with the classic BPNN based deblurring method in which the symmetry of blur function is not considered,the proposed method decreased the computation consumption largely.At the same time,the performance of proposed method is improved.Several experiments results testify the superiority of proposed deblurring method.
image deblurring back propagation neural networks blur function
Ren Xiaozhi Bin binchao
College of Mechanical Engineering,Guangxi University,Nanning,Guangxi,530004 Tobacco Monopolgy Rureau of Guangxi Zhuang Autonomous Region(Guangxi Zhuang Autonomous Region Branch
国际会议
郑州
英文
2167-2171
2013-10-19(万方平台首次上网日期,不代表论文的发表时间)