Restoration of blurred color images with impulse noise

Restoration of images degraded by blurring and impulse noise has received considerable attention recently. Guo et al. (2009) proposed a fast l1l1-total variation algorithm for grayscale image restoration with impulse noise. In this paper, we extend their idea for deblurring color images with impulse noise. An alternating iteration scheme is adopted for solving the corresponding problem. More importantly, we employ the five-point property to analyze the convergence of the proposed alternating algorithm. Numerical experiments demonstrate that the proposed method could deblur color images with good quality.