红外技术, 2014, 36 (9): 714, 网络出版: 2014-12-08   

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
作者单位
武汉科技大学信息科学与工程学院, 湖北 武汉 430081
摘要
传统的基于 DWT的压缩感知图像融合方法针对的是整个稀疏系数,由于小波系数的低频部分为非稀疏的,导致其压缩重构质量差。针对该问题,提出了一种基于 DWT高频系数压缩测量的融合方法,该压缩模式可以提高重构信号的质量,进而提高融合图像的效果。首先,对图像作小波稀疏变换,得到低频和高频系数,并对高频系数压缩测量得到测量值;然后,在小波域和压缩域分别进行融合,并对融合后的测量值进行重构得到融合后的高频系数;最后,经小波逆变换得到融合后的图像。实验结果表明,本压缩感知模式较传统的压缩感知模式在减少压缩数据量的同时提高了图像的融合效果。
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.

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, 36(9): 714. SUN Yong-ming, WU Jin, LIU Jing, DENG Dan. Image Fusion Based on Compressed Sensing of DWT High Frequency Coefficients[J]. Infrared Technology, 2014, 36(9): 714.

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