A method of dual-band infrared images fusion based on Gradeint pyramid decomposition

Recently, infrared thermal imager has been widely used in the fields of missile guidance and flaw detection and so on. Among them, the advanced one adopts sensors of dual bands to identify the target. Since of that, there is an urgent need of a fusion of the dual-bands images. The fused result includes much more exhaustive information than any single one, and can better reflect the actual. Among the algorithms used to fuse the dual-band infrared images, the weighted algorithm is the most widely used and easiest to be achieved. Nonetheless, its effect is not desired. To get a better result, in this paper, the fusion strategy based on the Gradient pyramid transform has been mainly adopted to fuse the dual-band infrared images on the pixel-level. Meanwhile, there is a comparison with the weighted algorithm and the Contrast pyramid algorithm. Also, it makes an evaluation and analysis to the experimental data, and finally obtains the desired results.