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基于改进的相关度的局部图像修复模型
引用本文:胡德敏,朱晓临,邓祥龙.基于改进的相关度的局部图像修复模型[J].合肥工业大学学报(自然科学版),2012,35(8):1139-1144.
作者姓名:胡德敏  朱晓临  邓祥龙
作者单位:合肥工业大学数学学院,安徽合肥,230009
基金项目:教育部科学技术研究重大资助项目(309017);安徽省自然科学基金资助项目(11040606M06);教育部第38批留学回国人员科研启动基金资助项目(2010JYLH0322)
摘    要:TV模型在修复图像时对整个待修复图像进行迭代,文章提出了针对破损区域进行修复的局部修复模型,大大缩短了修复时间;并在有关改进方法的基础上,引入改进的相关度,使修复效果更好.实验结果表明,在迭代次数相同的条件下,该修复模型比TV模型和有关改进的TV模型的图像修复效果更好,所用时间更短.

关 键 词:局部图像修复  TV模型  改进的相关度

Local image inpainting model based on modified relativity
HU De-min , ZHU Xiao-lin , DENG Xiang-long.Local image inpainting model based on modified relativity[J].Journal of Hefei University of Technology(Natural Science),2012,35(8):1139-1144.
Authors:HU De-min  ZHU Xiao-lin  DENG Xiang-long
Institution:(School of Mathematics,Hefei University of Technology,Hefei 230009,China)
Abstract:The total variation(TV) model performs the iteration on the whole damaged image,but the local image inpainting model proposed in this paper only performs on the damaged areas instead of the whole image,resulting in a great reduction of the restoration time.Besides,based on the relevant modified method,the modified relativity is introduced in the above model to get better restoration result.The experimental results show that the model given in the paper gets a better restoration result with less time at the same iterations compared with the TV model and the relevant modified TV model.
Keywords:local image inpainting  total variation(TV) model  modified relativity
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