基于局部域上象元的整体相关性和基图象纹理连续性，对已知象元进行迭代拟合，同时修复多点缺损数据。
Based upon texture feature and whole interrelation of, pixels in local region, an iterative algorithms of approximation to known pixels was performed to restore the damaged data.
实验结果表明，该方法在修复强结构纹理图像时有很好的效果。
The experiment results show this method is effective in repair structured texture images.
研究了照片修复问题，改进了纹理分析与合成、偏微分方程的照片修复的一般方法，编制了实验程序。
The paper researches the issue of image repair, improves the texture analysis and mixture method, also improve the method of image repair with PDE, does many experiment by programming with matlab.
对于图像中未知区域内的其它部分的修复，可以使用纹理传播来完成。
For the remained regions that need to be filled, can use the texture propagation to finish.
基于全变分的彩色图像修复(CTV)模型，可以在保持边缘的同时达到去噪目的，但对纹理较复杂的区域修复效果不理想。
The Color Total Variation (CTV) model can denoise while maintaining the edge of the damaged images, but it should be improved in domains of complicated texture.
基于全变分的彩色图像修复(CTV)模型，可以在保持边缘的同时达到去噪目的，但对纹理较复杂的区域修复效果不理想。
The Color Total Variation (CTV) model can denoise while maintaining the edge of the damaged images, but it should be improved in domains of complicated texture.
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