Tight Wavelet Frame Based Multiple Blind Motion Images Inpainting Algorithm

Restoring a clear image from motion-blurred images has long been one challenging problem in digital imaging. With increasingly advanced vehicles and electronic equipment, for these common, sports complex and very important blurred images which photographed multiple speeding motion blurred images due to violation of traffic rules and photographed multiple complex criminal suspects motion blurred images restoring has very important significance. These cases which original image and the kernel are unknown belong to challenging blind motion deblurring. Because a large amount of information can be obtained and handle the problem of motion complex blurred images restoration by multiple blurred images, meanwhile the better repairing effect can be obtained. Therefore the algorithms of blind motion deblurring using multiple images have very important significance.In the field of image restoration, due to the redundancy of tight wavelet frame can lead to robust, so that the images decomposition coefficients obtained at low precision can reconstruct clear images with high precision, which has a very high accuracy in terms of images restoration. So the application of wavelet framework in the field of images restoration has great research value.This paper proposes an approach of tight wavelet frame based multiple blind motion classified images inpainting with the advantage of tight wavelet frame and the thinking of images classification processed, and proposes different image inpainting models for different types of noisy images. Experiments show that the approach proposed in this paper can not only improve the quality of the different types of images inpainting, but also can remove image noise effectively.Because the tight wavelet frame is fixed in the algorithm of tight wavelet frame based multiple blind motion classified images inpainting which could affect image quality inpainting. In the latter part of the study, this paper proposes the adaptive tight wavelet frame of multiple blind motion classified images inpainting method. This algorithm solves the filters which used to constitute the tight wavelet frame decomposition matrix by single value decomposition(SVD), and bases on this matrix to image inpainting. Experiments show that the approach can obtain better quality of the different types of images inpainting.