Abstract: An improved tetrolet transform used in the fusion of infrared image and visible image was proposed according to high-energy of the target object of infrared image and the rich detail information of visible image.The images are decomposed at multi-scales and multi-directions,and in the fusion rule of low-frequency,appropriate scaling of regional ener-gy is used to prominent infrared target and retain background information of visible image.The experimental results show that more high-frequency information is retained by the improved selection of tetrolet transform template. Compared to the traditional fusion algorithm,the proposed fusion algorithm enhances the image contrast,improves subjective visual effects,and also raises the objective criteria.

Key words: Image fusion,Tetrolet transform,Infrared image,Visible image,Zoom regional energy