计算机应用研究2012，Vol.29Issue(9)：3581-3583,3.DOI:10.3969/j.issn.1001-3695.2012.09.102
一种基于小波稀疏基的压缩感知图像融合算法
Compressive sensing image fusion algorithm based on wavelet sparse basis
摘要
Abstract
As the development of CS, the image fusion techniques based on CS are becoming an emerging research field. Aiming at the characteristic of the wavelet coefficient of image decomposition, this paper proposed an compressive sensing image fusion algorithm based on double radially sampling mode. It firstly got the linear measurements in wavelet sparse domain by the double radially sampling mode, then fused the linear measurements directly with a simple and efficient maximum absolute value rule, and in the end recovered the fused image by minimal total variance. The subject and object experiments result shows that the algorithm has a favorable fuse effect.关键词
压缩感知/图像融合/小波稀疏/双放射采样模式Key words
compressive sensing (CS)/image fusion/wavelet transform/double radially sampling mode分类
信息技术与安全科学引用本文复制引用
黄晓生,戴秋芳,曹义亲..一种基于小波稀疏基的压缩感知图像融合算法[J].计算机应用研究,2012,29(9):3581-3583,3.基金项目
江西省自然科学基金资助项目(2010GZS0025) （2010GZS0025）
江西省科技支撑计划项目(赣财教[2008]212号) （赣财教[2008]212号）
