基于邻近像素点和小波去噪的岩心图像修复  

Core image inpainting based on neighborhood pixels and wavelet de-noising

作　　者：刘金明[1] 吴晓红[1] 滕奇志[1] 

机构地区：[1]四川大学电子信息学院,四川成都610064

出　　处：《信息与电子工程》2012年第1期103-106,共4页information and electronic engineering

基　　金：中央高校基本科研业务费资助项目(2009SCU11009);四川省科技支撑计划资助项目(10ZC0968)

摘　　要：针对破损的岩心图像修复问题,提出了一种基于邻近像素点和小波去噪的岩心图像修复算法。计算待修复像素点的优先权来确定填充修复的顺序;利用待修复像素点周围的邻近信息和改进的加权函数进行像素点修复;对修复后的岩心图像进行小波去噪处理。算法将图像修复和小波去噪相结合,更好地实现了图像修复的目的。In order to repair the broken core image, this paper proposes an inpainting algorithm based on neighborhood pixels and wavelet de-noising. Firstly, the priorities of the pixels which need repairing are calculated in order to determine the filling and inpainting order; then, the pixels are repaired with the neighboring information and the improved weighting function; finally, the de-noising of the restored core image is performed by wavelet de-noising. The algorithm combines image inpainting and wavelet de-noising, and obtains excellent results in repairing experiments.

关 键 词：岩心图像修复 邻近像素点 权值计算 小波去噪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]