红外与毫米波学报2012，Vol.31Issue(2)：153-158,6.
一种基于全变差莫型的欠采样图像重构方法
A new undersampling image reconstruction method based on total variation model
摘要
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.关键词
压缩感知/全变差/图像重构/图像融合Key words
compressed sensing/ total variation/ image reconstruction/ image fusion分类
信息技术与安全科学引用本文复制引用
杨扬,刘哲,张萌..一种基于全变差莫型的欠采样图像重构方法[J].红外与毫米波学报,2012,31(2):153-158,6.基金项目
国家自然科学基金(61071170) （61071170）
教育部新世纪优秀人才支持计划 （）
