处理图像修复问题的一类主要方法是建立偏微分方程，用迭代的方法来求解，其中最具代表性的算法是BSCB（bertalmio-sapiro-caselles-bellester）算法。针对BSCB模型速度很慢的缺点，提出了结合扩散率函数的选择性自适应插值算法。实验结果表明，该算法简便易行，使运算速度比BSCB模型提高了很多，同时修复的效果也有所改善。

A primary class of the image inpainting technique is to build up a partial differential equation, and solve it with some iterative method. One of the most representative inpainting algorithms is BSCB mode.l Because BSCB model’s main drawback is slow calculation, this paper proposes selective adaptive interpolation algorithm based on diffusivity function. The experimental results show that this method is easier to implement and faster in computation than BSCB model, and improves the inpainting effects.