一种新的样本块图像修补方法

A new exemplar-based image completing method

提出了基于颜色比率梯度(CRG,color ratio gradient)的样本块图像修补新方法。CRG对纹理中物体的遮挡和聚类的区分是鲁棒的,该方法的引入可以消除修补过程中纹理块选择时的误匹配,提高修补过程中源纹理块的质量,从而提高最终图像修补的质量。图像修补实验结果表明,本文提出的方法优于原有的基于样本块修补算法。

A new algorithm for exempla〉based image （CRG）. Color Ratio Gradient histogram is robust to completion is proposed using color ratio gradient object occlusion and clustering which induce mismatch in general image matching algorithm. The proposed algorithm can improve the quality of comparing similarity between source image patch and target image patch, then improve the quality of image completion. Experimental results show that the proposed method compared with previous algorithms based on exemplar is more efficient.