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一种基于全变差模型的欠采样图像重构方法

A new undersampling image reconstruction method based on total variation model

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摘要

基于全变差范数最小化模型,构造了一种新的图像重构算法;利用欠采样域内的融合信息,结合构造的图像重构算法,提出了一种基于压缩感知理论的图像融合模型.数值实验表明,构造的重构算法与传统算法相比,在一定程度上减少了所需的采样数量;提出的融合模型对多类图像具有较优的融合效果.

Abstract

A new image reconstruction algorithm was proposed based on the TV norm minimization model. Then using the under sampling fusion information, combined with the image reconstruction algorithm, a fusion model based on compressed sensing is proposed. Numerical results show that the proposed image reconstruction method can reduce the sampling number required to some extent compared with the traditional algorithm. The proposed fusion model has good performance for many kinds of images.

Newport宣传-MKS新实验室计划
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中图分类号:TN391

基金项目:国家自然科学基金(61071170);教育部新世纪优秀人才支持计划

收稿日期:2011-04-19

修改稿日期:2011-12-12

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作者单位    点击查看

杨 扬:西北工业大学 理学院,陕西 西安 710072
刘 哲:西北工业大学 理学院,陕西 西安 710072
张 萌:西北工业大学 理学院,陕西 西安 710072

联系人作者:杨扬(yangyang_19860610@163.com)

备注:杨 扬(1986-),男,河南开封人,博士研究生,主要研究方向为图像处理、信息融合.

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引用该论文

YANG Yang,LIU Zhe,ZHANG Meng. A new undersampling image reconstruction method based on total variation model[J]. Journal of Infrared and Millimeter Waves, 2012, 31(2): 153-158

杨 扬,刘 哲,张 萌. 一种基于全变差模型的欠采样图像重构方法[J]. 红外与毫米波学报, 2012, 31(2): 153-158

被引情况

【1】赵明,安博文,王运,孙胜利. 基于非局部相似度约束的多通道复用压缩遥感成像方法. 红外与毫米波学报, 2015, 34(1): 122-127

【2】董江山,尹京苑,李成范. 基于梯度转向核的半随机傅里叶域压缩重构算法. 红外与毫米波学报, 2015, 34(6): 673-679

【3】赵康,吴谨. 一种改进的基于区域梯度——能量的图像融合方法. 液晶与显示, 2016, 31(3): 331-337

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