Proc. SPIE. 9142, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013
Based on characteristics that infrared polarization image can restrain background noise greatly and can be more sensitive to target edge information, a polarization image fusion algorithm based on oriented Laplacian pyramid is proposed in this paper. The method is mainly used in image fusion between the infrared radiation intensity image I and degree of polarization image P in order to increase the amount of information of the image. First, each Gaussian pyramid level is decomposed in different directions to get oriented Laplacian pyramid. Second, the oriented Laplacian pyramid level images of the image I and the image P are fused with the criterion of direction gradient to get fused oriented Laplacian pyramid level images. At last, the fused image is acquired by image reconstruction. The result of experiment shows that this method could add the polarization characteristics into the original intensity image, increase the image contrast and clarity, and make the overall visual effect better.