中文说明：
基于Curvelet变换的样本块图像修复算法提高现有样本块修复算法性能。首先利用Curvelet 变换估计待修复图像的4方向特征．然后利用颜色信息与方向信息共同衡量样本块间的相似度，在此基础上构造颜色-方向结构稀疏度函数
English Description：
The image inpainting algorithm of sample block based on curvelet transform improves the performance of existing sample block inpainting algorithms. Firstly, the curvelet transform is used to estimate the four direction features of the image to be repaired. Then, the color information and the direction information are used to measure the similarity between the sample blocks. On this basis, the color direction structure Sparsity function is constructed