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Multispectral night vision image fusion based on wavelet transform

In the area of low light level (LLL) night vision, improving the LLL image quality has received more and more attentions. In this paper, we use the instantaneous laser (near infrared) assistant vision technology to obtain the laser assistant vision (LAV) image and realized the fusion of LLL image and LAV image using wavelet transform. The information feature of the two kinds of images is different because the spectrums they respond are different. In the fusion process, the images are first decomposed based on wavelet transform. We construct the multiresolution analysis of the fused image by considering the multiresolution contrast of the source images. The interested image features can be enhanced. At last the fused image is reconstructed by the inverse wavelet transform. The experiment results show that the fused image is better than any of the individual source images and the fusion of the LAV image and the LLL image can improve the image quality of LLL TV. This technology is meaningful for night vision.