Research And Improvement On The Methods Of Blind Image Testoration

With the rapid development of science and technology, the image quality is required higher and higher in many application domains. The blind image restoration draws attention of many scholars. This article will introduce the ways of the blind image. The general method is modeling the degradation process firstly, and then getting the estimate of the original image via solving the inverse problems the model.In this paper, the classical image blind restoration algorithms are presented, and the blind restoration algorithm in support domain with non-parameters limited are mainly analyzed. The iteration of the blind image restoration algorithm based on Markov random field is mainly researched. In the iterative blind image restoration algorithms based on Markov random field, the improved algorithm based on MAP estimation algorithm was put forward. Then original algorithm and improved algorithm was validated and compared through the MATLAB software programming. It shows that the improved algorithm promotes the image recovery quality and the algorithm efficiency. The blind image restoration algorithm based on the TV of regularization model is also analyzed in this paper.