Blind image restoration based on wavelet analysis

Blind image restoration is important and full of challenge as an issue of image processing. Many conventional approaches have been developed to restore the original image at present. But since there are two unknown things: the original image and the point spread function (PSF), in many case it is difficult to reach the expected results, especially when the image is heavily degraded. In this paper, blind image restoration approach based on wavelet analysis is proposed. The key of the approach is the wavelet analysis implemented before the restoration with conventional approaches. Wavelet analysis returns some useful information about the degraded image as well as the restored image, and the information can help further restoration. The experimental results prove that the approach is satisfactory.