Compressive sensing image fusion algorithm based on wavelet sparse basis
一种基于小波稀疏基的压缩感知图像融合算法

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.