摘要
本文利用BP神经网络和逆滤波器提出了一种新的半盲离焦图像复原算法.在小波域,提取特点向量,然后训练BP神经网络,利用训练后的网络估计离焦参数.根据离焦参数得到点扩展函数,利用逆滤波器复原模糊图像.仿真实验结果表明:该方法能有效地复原离焦模糊图像.
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.
出处
《四川大学学报(自然科学版)》
CAS
CSCD
北大核心
2007年第1期47-53,共7页
Journal of Sichuan University(Natural Science Edition)
基金
四川省科技厅应用基础研究项目(2006J13-092)
关键词
离焦图像复原
小波变换
BP神经网络
逆滤波器
defocused image restoration, wavelet transform, back propagation(BP) neural network, inverse filtering