Fusion of dual color MWIR images based on multiple combination rules in transform domain

To merge the merits of several diverse rules and product better fusion effectiveness of dual color mid-wave infrared images, a novel fusion scheme was presented based on multiple combination rules of transform domain coefficients. A low-frequency component image and a sequence of support value images of two subdivision band images of mid-wave infrared were obtained respectively with support value transform (SVT). According to the characterizations of pixel value maximum rule, region feature maximum rule and region feature weighting rule, a combination method of multiple rules of low-frequency component images was presented. Meanwhile, according to the characterizations of energy maximum rule and region feature weighting rule, a combination method of multiple rules was presented for support value image sequence. Compared with the method based on single combination rule, local standard deviation, local coarseness and fusion quality metric of images fused by proposed method increased 6.77%, 4.86% and 9.59% respectively. The validity of fusion method proposed is proved by experimental results.