一种改进的基于样图的图像修复算法

图像修复的目的是填补有信息缺损的图像，并使观察者无法察觉出图像的填补痕 迹。分析了图像修复技术中的Criminisi算法，针对它的不足，提出一种新的改进算法。新算法从4个方面加以改进：使用了新的优先权计算函数，优化了优先权大小选择的计算，避免了因模板数据项迅速衰减带来的错误填充次序；利用Sobel算子改进等照度线计算,使等照度线上的点优先被修复；采用新的匹配方法，将查找匹配的范围锁定在破损区域的边缘。最后为了平滑置信值更新导致的误差传播，定义了新的置信值更新方程。实验结果证明，本文图像修复算法不但可以改善图像修复质量，还可以提高图像修复效率。

Improved Exemplar-Based Image Restoration Algorithm

Image inpainting technique aims at infilling the images with missing or damaged portions in a way that they will be non-detectable for an observer.The Criminisi algorithm in the image inpainting is introduced. An improved algorithm is proposed to tackle the existing problem. These new improvements are in four aspects.Firstly, a new priority function is used to adjust the order of the selected pixel block, and therefore the incorrect filling order caused by rapid decay of data term is avoided. Secondly, a Sobel operator is introduced to improve computing method of isophote intensity,making the inpainting order along the isophotes. Thirdly, a new matching searching method to identify the samples in the neighborhood of the damaged region based on similarity is employed. Finally, to smooth the propagation of error in updating the confidence value, a new formula is defined. Experimental results show the improved algorithm can get a satisfied inpainting result and improve repairing efficiency.