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

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。

Abstract:

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.