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改进的TV-Stokes图像修复模型及其算法 被引量：10

Improved TV-Stokes Model and Algorithm for Image Inpainting
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摘要 该文在研究图像修复的基础上,提出了一种改进的TV-Stokes图像修复模型。通过分析新模型的性质,给出一种高效且快速的数值算法。由于新模型耦合了两个变量,因此新算法首先采用交替迭代策略化原问题为两个去耦的次问题,然后再对两个次问题分别利用对偶方法和分裂Bregman方法进行数值求解。实验结果表明该文所提出的算法不但修复图像的效果较好,而且修复的速度较快。 In this paper,an improved TV-Stokes image inpainting model is proposed based on the study of image inpainting.By analysing the properties of new model,an efficient and fast numerical algorithm is introduced.There are two variables in the new model,so it is firstly turned into two simple submodels by using alternating iteration method in the new algorithm,and then the two subproblems are solved using dual formulation and split Bregman method respectively.Experimental results show the new algorithm can not only get the better inpainting effect,but also improve the inpainting speed.
作者 许建楼 冯象初 郝岩
机构地区 西安电子科技大学理学院 河南科技大学数学与统计学院
出处 《电子与信息学报》 EI CSCD 北大核心 2012年第5期1142-1147,共6页 Journal of Electronics & Information Technology
基金 国家青年科学基金(61105011)资助课题
关键词 图像修复 TV-Stokes模型 对偶方法 分裂Bregman Image inpainting TV-Stokes model Dual method Split Bregman
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献17

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二级参考文献30

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共引文献39

同被引文献106

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引证文献10

二级引证文献40

电子与信息学报
2012年 第5期

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