基于双侧滤波的多幅灰色图像修复

首先比较L2泛数、L1泛数和ρ函数的各自优势，然后利用多幅降质图像，提出一个新的基于双侧滤波盲去卷积模型。并采用最速下降法给出了演化方程组，最后利用计算机模拟实现。针对运动模糊情况，对新模型与全变差(TV)模型修复效果作了比较。针对高斯模糊情况，利用单幅图像与两幅图像修复效果进行比较。实验结果表明，新模型更适用于运动模糊情况，其多幅图像修复比单幅图像修复效果更好。

Bilateral filtering based image restoration for multiple grayscale images

In this paper, the authors firstly compared the advantages of L~2-norm, L~1-norm and p-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 ease 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.