Fast Image Restoration Methods for Impulse and Gaussian Noises Removal.

In this paper, we study the restoration of blurred images corrupted by impulse noise or mixed impulse plus Gaussian noises. In the proposed method, we use the nodified total variation minimization scheme to regularize the deblurred image and fill in suitable values for noisy image pixels where these are detected by median-type filters. An alternating minimization algorithm is employed to solve the proposed total variation minimization problem. Our experimental results show the proposed algorithm is very efficient and the quality of restored images I y the proposed method is competitive with those restored by the existing variational image restoration methods. [ABSTRACT FROM AUTHOR]