摘要
基于纹理合成的图像修复技术在修复大面积破损区域时,普遍存在时间复杂度高的问题。针对Criminisi等提出的基于样本图像修复算法中的匹配技术存在的问题。该文提出了一种根据图像破损区域尺寸进行快速匹配的算法。同时,为了强调前次修复对以后修复产生误差累积的影响,提出了新的置信度更新方法。实验结果表明,改进算法对图像结构边缘的修复有明显的改善,也实现了图像修复的实时性。
Image inpainting techniques based on texture synthesis can be used to fill large region with high time complexity.For the problem of matching technology of exemplar-based image inpainting proposed by Criminisi and his partner,this paper proposes a fast matching algorithm according to the damaged area.Meanwhile,to emphasize the inpainting result of last time influences the later inpainting and will cause error accumulation,this paper also presents a novel method that updates confidence.Experiments results show that the improved approach improves the result in the front and obtains real-time performance.
出处
《杭州电子科技大学学报（自然科学版）》
2011年第5期139-142,共4页
Journal of Hangzhou Dianzi University：Natural Sciences
关键词
纹理合成
图像修复
匹配技术
置信度
texture synthesis
image inpainting
matching
confidence
