一种基于小波稀疏基的压缩感知图像融合算法

随着压缩感知技术的发展,基于压缩感知的图像融合技术研究逐渐受到越来越多的重视。针对图像小波分解系数特点,提出了一种基于双放射状采样模式的压缩传感域图像融合算法。该算法首先通过双放射状采样模式获得待融合图像的小波稀疏域线性测量值;然后利用一种简单的绝对值最大融合规则直接在压缩感知域进行融合,最后通过最小全变分的方法重构融合图像。主客观实验结果表明,该算法具有良好的融合效果。

Compressive sensing image fusion algorithm based on wavelet sparse basis

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.