基于NSCT变换与压缩感知的红外/被动毫米波图像融合
Fusion algorithm for IR/PMMW image based on NSCT and compressive sensing

为提高图像的质量和实时传输效率，提出一种基于NSCT变换与压缩感知的红外/被动毫米波图像融合算法. 该算法首先对红外/被动毫米波图像分别进行非下采样轮廓波变换分解. 然后，对于高频系数采用基于压缩感知的融合方法；低频系数部分则是采用基于图像方差的融合策略. 再对融合后的高频、 低频系数进行逆变换输出融合图像. 最后通过实验仿真证实该算法得到的融合图像能很好地识别目标坦克.
To improving the quality of the image and real-time transmission efficiency，a image fusion algorithm based on non-subsampled contourlet transform and compressive sensing is presented. Firstly，the original images were take the non-subsampled contourlet transform decomposition. Second，the fusion ruler for high frequency coefficients is based on compressive sensing；The low frequency coefficients is based on image variance. Finally the fusion image is obtained by taking the inverse transform.The experimental results show that the fusion image of the algorithm can identify the target tank well