计算机应用研究2016，Vol.33Issue(8)：2524-2529,6.DOI:10.3969/j.issn.1001-3695.2016.08.063
基于非局部 CTV-L1模型的大破损彩色纹理图像修复
Large broken color texture image inpainting using non-local CTV-L1 model
摘要
Abstract
In order to solve the inpainting problem for the large broken texture color image,this paper extended TV-L1 model to the non-local CTV-L1 model.Technically,this new model included both non-local operators that was capable of inpainting large broken texture image and CTV regularization term that was able to preserve the edge of color image by taking into consi-deration the coupling of different layers of color images.By introducing auxiliary variables and Lagrange multiplier,it designed the simple augmented Lagrangian algorithm for this model to improve its computational efficiency.Some numerical experiments validate that the proposed model can not only preserve the edge of color image,but also remove anomalies and irregularities from images.The research can be applied to the salt and pepper noise removal of color texture image and color texture image segmentation,etc.关键词
TV-L1 模型/非局部 CTV-L1 模型/增广 Lagrangian 算法/大破损彩色纹理图像/图像修复Key words
TV-L1 model/non-local CTV-L1 model/augmented Lagrangian algorithm/large broken color texture image/image inpainting分类
信息技术与安全科学引用本文复制引用
陆文祺,端金鸣,魏伟波,潘振宽,王国栋..基于非局部 CTV-L1模型的大破损彩色纹理图像修复[J].计算机应用研究,2016,33(8):2524-2529,6.基金项目
国家自然科学基金资助项目 （）
