Fusion of Polarization Image Based on Directionlets Transform

An efficient image fusion algorithm for polarization images based on Directionlets transform is proposed. Firstly, the several of polarization images are decomposed using Directionlets transform, which have multi-scale, multi-direction characteristics. Then, for the low-pass coefficients, the weighted averaging fusion rule is used. To select the better coefficients for the directional high-frequency ones, edge detection using two dimensional Teager energy and region directional contrast algorithm are used for fusion according to edge distribution differences in high frequency sub-band images. Experimental results show that compared with traditional algorithm, the proposed algorithm can get better visual effect and the significant information of original image like textures and contour details is well maintained.