利用灰度共生矩阵提取图像纹理特征值，然后根据熵值的大小来实现模块大小的选择。

另外，在寻找最佳匹配块时，同时考虑了颜色信息的差异和空间距离的因素。最后，给出了客观评价

图像修复质量的PSNR度量。实验表明，与Criminisi算法相比，该方法得到的修复效果更自然，更符合

人的视觉感知。

关键词：图像修复；纹理合-This paper firstly utilizes gray-level co-occurrence matrix to exti’act image s texture feature，then，it coinpletes the

choice of module size according to the value of entropy．In addition， when finding the best match， it considers the dift)renees of

color information and the factor of spatial distance at the same time． Finally， it gives PSNR measurement to evaluate image

inpainting quality objectively．The experiments show that，compared with Criminisi algorithm，the inpainting effects got from this

method are more natural and more fitful to people S vision．