摘要
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.
出处
《光电子.激光》
EI
CAS
CSCD
北大核心
2009年第5期677-680,共4页
Journal of Optoelectronics·Laser
基金
天津市高等学校科技发展基金计划资助项目(20071307)
天津市应用基础及前沿技术研究计划资助项目(08JCYBJC12200)