计算机工程Issue(1)：250-253,267,5.DOI:10.3969/j.issn.1000-3428.2014.01.053
一种基于形态成分分析的唐卡图像修复算法
An Algorithm for Tangka Image Inpainting Based on Morphological Component Analysis
摘要
Abstract
In the context of inpainting based on Morphological Component Analysis(MCA), the imposition of a total variation penalty is useful, particularly well in recovering piecewise smooth objects, but easy to produce staircase. A new image inpainting method based on morphological component analysis is proposed. The proposed algorithm utilizes p-Laplace operator in the information spread not only along the edge direction, but also in gradient direction, which not only preserves edge, but also avoids staircase in the smooth area, and at the same time, the result is also less sensitive to noise. Experimental results for Tangka image which contains scratch and block loss show that the proposed method achieves better inpainting effect.关键词
图像修复/唐卡图像/形态成分分析/全变分模型/p-Laplace算子Key words
image inpainting/Tangka image/Morphological Component Analysis(MCA)/total variational model/p-Laplace operator分类
信息技术与安全科学引用本文复制引用
刘仲民,胡文瑾,李战明..一种基于形态成分分析的唐卡图像修复算法[J].计算机工程,2014,(1):250-253,267,5.基金项目
国家自然科学基金资助项目(61162021)；中央高校基本科研业务费专项基金资助项目(zyz2012078)；甘肃省工业过程先进控制重点实验室基金资助项目(XJK0901) （61162021）
