液晶与显示2017，Vol.32Issue(1)：35-39,5.DOI:10.3788/YJYXS20173201.0035
基于 DWT-IRLS 的压缩感知图像融合
Image fusion based on CS of DWT-IRLS
李尊 1苗同军1
作者信息
- 1. 新乡学院 物理与电子工程学院，河南 新乡 453000
- 折叠
摘要
Abstract
Image fusion based on compressed sensing belongs to the level of image fusion at pixel level. Traditional image fusion based on DWT compressed sensing is for whole sparse coefficient.Because the coefficient of low frequency is not sparse,the quality of image fusion is bad.Aiming at this problem, this paper proposes the image fusion based on CS of DWT-IRLS.First,the image is decomposed by DWT and the coefficient of high frequency is measured;Then,the coefficient of low frequency and the coefficient of high frequency are fused in different domain,the coefficient of high frequency is recon-structed by IRLS algorithm;Finally,the fused image is obtained through inverse DWT.The experi-ment shows the fusion effect of 2 group is improved by comparison with four objective evaluation and subjective evaluation.This method can improve the image fusion,it has practical value.关键词
图像融合/压缩感知/小波变换/迭代权重最小二乘法Key words
image fusion/compressive sensing/DWT/IRLS分类
信息技术与安全科学引用本文复制引用
李尊,苗同军..基于 DWT-IRLS 的压缩感知图像融合[J].液晶与显示,2017,32(1):35-39,5.
