Image restoration is a common problem in visual process. In this paper, a modified minimization model is
presented, which combines the L1 and L2 fidelity terms with a combined quadratic L2 and TV regularizer
just as the regularizer of Cai et al. (2013). The combined regularizer has the priorities of preserving desirable
edges and ensuring several kinds of noises can be removed clearly. Split-Bregman algorithm is effi-
ciently employed to solve this model and convergence analysis is also discussed. Moreover, we extend
the proposed model and algorithm for image restoration involving blurry images and color images.
Experimental results show that our proposed model and algorithm have good performance both in visual
and ISNR values for different kinds of blurs and noises including mixed noise.