关键词: 盲去卷积, 双侧滤波, 降质图像, 运动模糊, 高斯模糊

Abstract: In this paper, the authors firstly compared the advantages of L2-norm, L1-norm and ρ-function. Using multiple degraded images, a new bilateral total variation-based blind deconvolution model was proposed. Finally, some simulations were carried out through computer. In the case of motion blur, the performance of the proposed model was compared with that of Total Variation (TV) model. In the case of Gaussian blur, the restoration effect only using one degraded image was compared with that using two degraded images. The results show that the effect of our model is better than that of TV model for motion blur and single Gaussian blur, and the effect of multiple images is better than that of single image for Gaussian blur.

Key words: blind deconvolution, bilateral filtering, degraded image, motion blur, Gaussian blur