图像修复是图像复原研究中的一个重要内容，可以用于旧照片中丢失信息的恢复、视频文字去除以及视频错误隐藏等。目前有很多图像修补算法对于灰度图像的修补已经取得了很好的修补效果，但存在着时间消耗大和应用到彩色图像修补中时修补效果不理想的缺点。将相关扩散方程引入到图像修补中，并进行改进，使得图像的修补效率和修补效果都得到了有效提高，而且可以很自然地应用到彩色图像修补中。大量的实验证明了该方法的有效性。

Image inpainting is an important research field in the area of image restoration, which can be used to restore damaged images and videos, remove text and conceal errors in videos. Now many inpainting algorithms perform well in the gray image inpainting, but they are time consuming and not quite applicable to color images. This paper introduces coherence-enhancing diffusion into image inpainting, and adapts it to improve the efficiency and performance of inpainting. Moreover our method can extend for color image inpainting naturally. Many experimental results prove our method is effective.