A fusion algorithm for infrared and low light level images based on edge information and support value transform

In this paper, a fusion algorithm for infrared and LLL images based on edge information and support value transform is proposed. Firstly, the infrared and LLL images are combined after edge detection to obtain the first fused image. Secondly, the infrared, LLL and the first fused images are decomposed respectively by using the support value transform (SVT) to obtain the sequences of their approximations and support values. Thirdly, the multiple sets of sequences of approximations and support values are combined together. Finally, the fused images are recovered by using the inverse support value transform (ISVT). The experiments and results demonstrate that the fused image which uses the algorithm presented in this paper has the advantage of better visual effect. It has preserved the detailed information effectively and has extracted more edge information from source images compared with the conventional fusion algorithms.