基于神经网络和维纳滤波的半盲离焦图像复原

Semi-blind defocused image restoration with neural network and wiener filtering

本文提出了一种基于小波神经网络和维纳(Wiener)滤波的半盲离焦图像复原算法,首先提取训练图像的小波域特点参数向量,将该参数用来训练小波神经网络,利用训练好的网络估计图像离焦模糊参数。由离焦模糊参数获得点扩展函数,然后用Wiener滤波完成图像的复原。实验结果表明:该方法能有效地估计离焦模糊参数和复原模糊图像。

A novel semi - blind defocused image restoration technique is propesed, which is based on wavelet neural network （WNN） and Wiener filtering. In this technique, firstly a wavelet neural network is trained in wavelet domain to estimate defocus parameter.After obtaining the point spread function （PSF） parameter, Wiener filter is adopted to complete the restoration. We experimentally illustrate its performance on simulated data. Results show that the proposed PSF parameter estimation technique and the defocused image restoration are effective.