摘要
在对图像局部特性分析的基础上,提出了一种简单的非迭代自适应模板快速图像修复算法。该算法首先通过对待修复点邻域像素梯度值进行排序,估计出该点的等照度线方向,从而自适应地确定其修复模板,然后利用快进法(fast marching method)确定修复路径并完成对整个破损区域的修复。实验结果表明,该算法对边缘细节及平滑区域均有良好的修复能力,在相近的修复时间内能得到明显优于一般快速图像修复算法的修复效果。
Based on the analysis of local characteristic of nature images, a fast and non-iterative inpainting algorithm using adaptive mask is proposed in this paper. First, the direction of isophotes is estimated through sorting. Accordingly, the restore mask can be chosen adaptively. Then, the whole damaged area can be restored along the routine which defined by the fast marching method. The experimental results show that this algorithm has better ability in restoring both smooth area and edge-contained area compar...
出处
《中国图象图形学报》
CSCD
北大核心
2008年第1期24-28,共5页
Journal of Image and Graphics
基金
国家自然科学基金项目(60473102
60772121)
安徽省高等学校自然科学研究项目(2005KJ005ZD
2006KJ030B)
关键词
图像修复
自适应模板
快进法
inpainting
adaptive mask
fast marching method
