基于BP神经网络和逆滤波器的小波域半盲离焦图像复原

摘要

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.%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.