红外技术Issue(9)：714-718,5.
基于DWT的高频系数压缩感知图像融合
Image Fusion Based on Compressed Sensing of DWT High Frequency Coefficients
摘要
Abstract
Traditional compressed sensing image fusion method based on DWT is for the sparse coefficient. Because the wavelet coefficients of low frequency part is not sparse,the quality of reconstruction is bad.Aiming at this problem,this paper proposes a fusion method based on compressed sensing of DWT high frequency coefficients,which does good to the quality of the reconstructed signal,and then improve the effect of the fused image.First,the images are decomposed by wavelet transform and the high frequency coefficients compressed for measured value. Then, the work of fusion is done in wavelet domain and compressed domain respectively,and the measured value is reconstructed to gain the high frequency coefficients. Finally, the fused image gained through inverse wavelet transform. Experimental results show that the high frequency compressed mode is better both in reducing compressed data and improving the effect of fused image compared with traditional compressed mode.关键词
图像融合/小波变换/压缩感知/稀疏信号Key words
image fusion/wavelet transform/compressed sensing/sparse signal分类
信息技术与安全科学引用本文复制引用
孙永明,吴谨,刘劲,邓丹..基于DWT的高频系数压缩感知图像融合[J].红外技术,2014,(9):714-718,5.基金项目
湖北省自然科学基金项目，编号2013CFB333；湖北省教育厅科研计划项目，编号Q20131110。 （）
