摘要
研究了基于块填充的图像修复算法,修复图像的质量容易受到待修复区域边界像素修复顺序的影响,通过分析待修复区域像素点所在模块的图像特征,改进了填充算法的优先权,分别是基于P-Laplace算子和Euler’s elastica模型的优先权计算方法的改进。实验结果证实了文中所介绍算法能有效提高重建图像的感知质量。
This paper does some research on exemplar-based inpainfing algorithm. The quality of the repaired image is significantly influenced by the filling order of the boundary pixels. It tries several ways of computing priority to improve the exemplar-based algorithm, according to analyzing the pixel's surrounding image features. The experiment results of the algorithm is given and proved to be effective in increasing the reconstructed image's vision quality.
出处
《信息技术》
2008年第5期64-67,71,共5页
Information Technology