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Compressed Sensing Based on the Single Layer Wavelet Transform for Image Fusion
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作者 Guohui Yang Wude Xu +5 位作者 Bo Zheng Fanglan Ma Xuhui Yang Hongwei Ma Hongxia Zhang Genliang Han 《Journal of Computer and Communications》 2016年第15期107-116,共10页
In this paper, a new method of combination single layer wavelet transform and compressive sensing is proposed for image fusion. In which only measured the high-pass wavelet coefficients of the image but preserved the ... In this paper, a new method of combination single layer wavelet transform and compressive sensing is proposed for image fusion. In which only measured the high-pass wavelet coefficients of the image but preserved the low-pass wavelet coefficient. Then, fuse the low-pass wavelet coefficients and the measurements of high-pass wavelet coefficient with different schemes. For the reconstruction, by using the minimization of total variation algorithm (TV), high-pass wavelet coefficients could be recovered by the fused measurements. Finally, the fused image could be reconstructed by the inverse wavelet transform. The experiments show the proposed method provides promising fusion performance with a low computational complexity. 展开更多
关键词 Image Fusion Compressed Sensing Single Layer Wavelet Transform
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