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一类自适应混合图像修复算法
引用本文:邓志全,邹青松.一类自适应混合图像修复算法[J].中山大学学报(自然科学版),2007,46(2):117-119.
作者姓名:邓志全  邹青松
作者单位:中山大学科学计算与计算机应用系 广东广州510275
基金项目:国家天元数学基金;国家自然科学基金
摘    要:建立了一类新的图像修复算法,即自适应混合图像修复算法。这一算法的基本原理是:首先将图像分解为几何轮廓和纹理两部分分别修复后再合成。对几何轮廓部分,用自适应整体变差方法进行修复,自动根据区域特点选参修复,在保持边缘信息同时加快了修复速度;对纹理部分,用二阶共生矩阵合成方法进行修复,使修复效果更为理想。

关 键 词:图像修复  整体变差法  自适应  纹理生成  共生矩阵
文章编号:0529-6579(2007)02-0117-03
修稿时间:2006-09-01

An Adaptive Mixed Image Inpainting Algorithm
DENG Zhi-quan,ZOU Qing-song.An Adaptive Mixed Image Inpainting Algorithm[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2007,46(2):117-119.
Authors:DENG Zhi-quan  ZOU Qing-song
Institution:Department of Scientific Computing and Computer Applications,Sun Yat-sen University, Guangzhou 510275, China
Abstract:An adaptive mixed image inpainting algorithm is presented.With this method,an image to be inpainted is decomposed into two components: one is the geometric outline component and the other is the texture component.The geometric outline is inpainted by a so-called Adaptive Total Variation on method,choosing different parameters according to different region,not only preserving sharp edges and also accelerating the inpainting process.The texture component is inpainted by a so-called Co-occurrence Matrix synthesis method,making the result more accurate.
Keywords:inpainting  image decomposition  total variation  adaptive method  texture synthesis  co-occurrence matrix
本文献已被 CNKI 维普 万方数据 等数据库收录!
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