一种新的基于邻近像素点的图像修复算法  

A novel image inpainting algorithm based on adjacent pixels

作　　者：檀结庆[1] 汪忠庆[2] 

机构地区：[1]合肥工业大学理学院,安徽合肥230009 [2]合肥工业大学计算机与信息学院,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2006年第9期1072-1076,共5页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(10171026);国家自然科学基金资助项目(60473114);安徽省教育厅创新团队基金资助项目(2005TD03)

摘　　要：图像修复的基本方法主要有两类:纹理合成的方法和基于偏微分方程的方法,但这些修复算法较难理解和实现。该文通过定义修复区域内像素点的优先度,提出了一种基于图像邻近像素的图像修复算法;该算法不需要大量的纹理匹配计算和复杂的偏微分方程求解,易于理解和实现。The current methods for image inpainting mainly include ＂texture synthesis＂ algorithms and the algorithms based on partial differential equations（PDEs）, which are either difficult to understand or complicated to implement. In this paper, by defining the priority of inpainted points, an image inpainting algorithm based on adjacent pixels of the points is presented. The presented algorithm avoids both the expensive computation of texture matching and the time-consuming solving of complicated PDEs, and therefore is easy to understand and implement.

关 键 词：图像修复 图像恢复 物体去除 邻近像素 填充 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]