Blind restoration of blurred and noisy images
Nader Moayeri, Konstantinos Konstantinides · 2002
This paper presents a technique for deblurring noisy images. It includes two processing blocks, one for denoising and another for blind image restoration. The denoising step is based on the theories of singular value decomposition and compression-based filtering. The deblurring step is based on a double-regularization technique. Experimental results show that the combination of these techniques is quite effective in restoring severely blurred and noise-corrupted images, without prior knowledge of either the noise or image characteristics.