Tomoki Kawahara, Satomi Kato Doi, Aya Isumi, Yusuke Matsuyama, Yukako Tani, Takeo Fujiwara
Impact of COVID-19 pandemic on children overweight in Japan in 2020
Pediatric obesity
process image fusion process enriching image improving images quality facilitate subsequent image processing analysis increasing importance image fusion technology fusion infrared visible images received extensive attention todays deep learning environment deep learning widely used field image fusion however applications possible obtain large amount training data special organs snakes receive process infrared information visible information fusion method infrared visible light simulate visual mechanism snakes came therefore paper takes account perspective visual bionics achieve image fusion methods need obtain significant amount training data however fusion methods simulating snakes face problem unclear details paper combines method pulse coupled neural network pcnn studying two receptive field models retinal nerve cells six dualmode cell imaging mechanisms rattlesnakes mathematical models pcnn model improved fusion method infrared visible images proposed proposed fusion method eleven groups source images used three nonreference image quality evaluation indexes compared seven fusion methods experimental results show improved algorithm proposed paper better overall comparison method three evaluation indexes