The research on image restoration algorithm based on improved total variation model

In this paper, the author deals with the research on image restoration algorithm based on improved total variation model. It is based on the regularization technique, puts forward an adaptive TV (Total Variation) model to achieve smooth denoising and protecting the details of image; it is the minimizing process of converting image restoration into cost function. By using conjugate gradient method to search the extreme, the recovery process of degraded image of turbulence can be achieved. Experiments show that the algorithm proposed in this paper can improve the quality of the image in a large extent. The rational use of adaptive total variation technology and the regularization technique can effectively protect the edge of image and denoise, and it also has better speed of convergence and stability. Therefore, it is suitable for application in aerospace and military fields whose instantaneity requirements are high due to the moderate amount of calculation.