Color Fusion Method of Infrared Medium and Long Wave Images Based on Helix Mapping of Differential Features

Runqi Zhang; Canbing Zhao; Wenqing Hong; Junbo Su; Chuanming Liu

doi:10.3788/LOP202259.0810009

[1] Han Z. A study of multiband image adaptive fusion based on deep learning[D](2018).

[2] Toet A, Hogervorst M A, van Son R et al. Augmenting full colour-fused multi-band night vision imagery with synthetic imagery in real-time[J]. International Journal of Image and Data Fusion, 2, 287-308(2011).

[3] Wang L X, Jin W Q, Zhao Y M et al. Fast natural color fusion method for dual band video based on color look-up table[P].

[4] Toet A, Walraven J. New false color mapping for image fusion[J]. Optical Engineering, 35, 650-658(1996).

[5] Su Y L, Su J B, Fan Y H et al. Study on color mapping for MWIR and LWIR image fusion[J]. Infrared Technology, 41, 335-340(2019).

[6] Ansorge U, Horstmann G, Carbone E. Top-down contingent capture by color: evidence from RT distribution analyses in a manual choice reaction task[J]. Acta Psychologica, 120, 243-266(2005).

[7] Liu S H, Wu W B, Bu L J. SAR image pseudo color encoding based on optimum index and HSV color space[J]. Geomatics & Spatial Information Technology, 40, 166-169(2017).

[8] Lou S L, Yu Z J. The study of colored image quality assessment based on FSIM & diverse color models[J]. Computer Knowledge and Technology, 13, 226-228(2017).

[9] Xie Z X, Wang Z F, Xiong X L et al. Color image quality assessment based on noise model of human vision perception and color image quality optimization[J]. Journal of Image and Graphics, 15, 1454-1464(2010).