四川大学学报（自然科学版）2007，Vol.44Issue(1)：47-53,7.
基于BP神经网络和逆滤波器的小波域半盲离焦图像复原
Semi-blind defocused image rstoration using BP network andinverse filterin wavelet domain
摘要
Abstract
A novel semi-blind defocused image restoration technique is proposed, which is based on back propagation(BP) neural network and inverse filtering. In this technique, firstly a BP neural network is trained in wavelet domain to estimate defocus parameter. After obtaining the point spread function (PSF) parameter, inverse filter is adopted to complete the restoration. We experimentally illustrate its performance on simulated data. Results show that the proposed PSF parameter estimation technique is effective.关键词
离焦图像复原/小波变换/BP神经网络/逆滤波器Key words
defocused image restoration/wavelet transform/back propagation(BP) neural network/inverse fil分类
信息技术与安全科学引用本文复制引用
李征,苏理云,琚生根,杨舰..基于BP神经网络和逆滤波器的小波域半盲离焦图像复原[J].四川大学学报（自然科学版）,2007,44(1):47-53,7.基金项目
四川省科技厅应用基础研究项目(2006J13-092) （2006J13-092）
