Wiener Filtering Image Restoration Technology Research and Improvement

Image restoration in image processing is an important problem,and is of great significance to improve image quality.There are a lot of important image restoration technologies that already proved to be effective in the actual application,but wiener filtering algorithm provides an optimal method that can derive the deconvolution transfer function in the situation of noise.It is the most commonly used recovery method in the frequency domain.The adaptation and improvement of wiener filtering algorithm in detail are analyzed and researched it and studied and discussed,then,proposed an modified method in the light of fuzzy boundary or ringing effect produced when restoring the motion noise blurred images that can restore important information of images better,producing satisfactory visual effects.