基于傅立叶和小波域的多通道图像恢复方法

Fourier-wavelet based method to multichannel image restoration

提出了一种新的多通道图像恢复方法。该方法在傅立叶和小波域利用同态滤波进行模糊辨识,在迭代过程中采用基于小波变换的图像融合技术来增强图像的细节。在小波和傅立叶域进行正则化因子的估计,从而减少参数的输入和增强抗噪能力。试验表明所提出的算法能够有效地解决实际问题,效果很好。

A novel approach to multichannel image restoration is proposed. Blur is identified by using homomorphic filtering in FourierWavelet domain. Wavelet based image fusion is incorporated into the process of iteration to collect and sharpen the details. Fourier- Wavelet based shrinkage is used to change the regularization parameters adaptively and enhance the restored image. It is shown by experiments that the proposed algorithm is robust.