关键词: 图像融合, 非下采样轮廓波, 稀疏表示, 脉冲神经网络

Abstract: In order to better preserve the rich details of the visible image, we proposed a dynamic image compression enhancement method based on directional guided wave to fuse visible image and infrared image. Firstly, the directional guided wave enhancement method was used to enhance the visible image. Secondly, a low-frequency subband and a series of high-frequency subbands were obtained by decomposing the enhanced visible image and the corresponding infrared image with the nonsubsampled contourlet. A sparse representation theory was used to fuse the low-frequency subband. The parametric adaptive impulse coupled neural network was used to fuse each high-frequency subband. Finally, the fused image was obtained by the inverse transform of nonsubsampled contourlet. The experimental results show that the proposed method is superior to the traditional methods in objective quality evaluation and visual inspection.

Key words: image fusion, nonsubsampled contourlet, sparse representation, impulse neural network