基于DWT的高频系数压缩感知图像融合
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.
[1] 吴仰玉, 纪峰, 常霞, 等. 图像融合研究新进展 [J].科技创新导报, 2013(1): 49-52.
[2] 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] D. Donoho. Compressed sensing[C]//IEEE Transform on Information Theory, 2006, 52(4): 1289-1306.
[4] Candes E, Tao T. Near optimal signal recovery from random projections: universal encoding strategies[J]. IEEE Transation on Information Theory, 2006, 52(12): 5406-5425.
[5] Meng Ding, Li Wei, Bangfeng Wang. Research on fusion method for infrared and visible images via compressive sensing[J]. Infrared Physics & Technology, 2013(57): 56-67.
[6] 薛模根, 刘存超, 徐国明, 等. 基于多尺度字典的红外与微光图像融合[J].红外技术, 2013, 35(11): 696-701.
[7] Donoho D L, Tsaic Y. Extensions of compressed sensing[J]. Signal Processing, 2006, 86(3): 533-548.
[8] Donoho D L. For most large under-determined systems of linear equations the minimal l1-norm solution is also the sparsest solution[J]. Communications on Pure and Applied Mathematics, 2006, 59(6): 797-829.
[9] 赵瑞珍, 秦周, 胡绍海. 一种基于特征值分解的测量矩阵优化方法 [J].信号处理, 2012, 28(5): 653-657.
[10] 郑万泽, 何劲, 魏星, 等. 基于 Contourlet变换的图像压缩感知重构[J].计算机工程, 2012, 38(12): 194-196.
[11] Needell D, Vershynin R. Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit[J]. Foundations of Computational Mathematics, 2007, 9(3): 317-334.
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.
PDF全文
