Image of the tomb mural has rich color , once destroyed it will lose a lot of structural information . Traditional algorithms restoring such image haven ’ t considered the priority of accurate restoration of strong structur-al information which results in repair area over extended and incoherent .To solve this problem , an image restora-tion algorithm based on structure factor and color clustering is proposed .Firstly, structure factor items are added in the priority calculation of repairing block .Secondly , search for similar block by color FCM clustering algorithm . Finally, depending on the size relationship between average sum of squared differences ( ASSD) and the set thresh-old, adaptively adjust the size of the repair block to achieve accurate matching of complex structure of the region . Experimental results show that a method of image restoration for the Northern Qi Dynasty tomb murals has a good re-sult.Compared with Criminisi algorithm , structural similarity ( SSIM) upgrades at least 5.68%.%墓葬壁画图像颜色丰富，一旦破损会丢失大量结构信息。传统算法修复此类图像时，没有考虑图像强结构信息的优先精确修复，造成修复区域的过延伸和不连贯。针对上述问题，提出了一种基于结构因子和颜色聚类的墓葬图像修复算法。算法首先在待修复块优先级计算中加入结构因子项；其次，通过颜色FCM聚类算法划分区域进行相似块精确搜索；最后，根据均值像素差平方和（ ASSD）与设定阈值的大小关系，自适应地对修复块尺寸进行调整以实现复杂结构区域的精确匹配。实验结果表明，所提方法对北齐墓葬壁画图像大面积缺损有很好的修复效果，与Criminisi算法比较，在结构相似度（ SSIM）上至少提升5．68％。
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