Study of adaptive LLL/infrared image color fusion algorithm based on the environment illumination

Qing-ping Hu; Xiao-hui Zhang; Chao Liu

doi:10.1117/12.2246738

1 November 2016 Study of adaptive LLL/infrared image color fusion algorithm based on the environment illumination

Qing-ping Hu, Xiao-hui Zhang, Chao Liu

Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 1015722 (2016) https://doi.org/10.1117/12.2246738
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

Abstract

LLL (Low-light-level) / infrared image fusion can integrate both bands information of the target, it is beneficial for target detection and scene perception in the low visibility weather such as night, haze, rain, and snow. The quality of fused image is declined, when any channel image quality drops. There will be great changes in the brightness, contrast and noise on LLL images when environment illumination has obvious changes, but the current color fusion methods is not adapted to the environment illumination change in larger dynamic range. In this paper, LLL image characteristics are analyzed under different environment illumination, and a kind of adaptive color fusion method is proposed based on the RGB color space. The fused image can get better brightness and signal-to-noise ratio under the different intensity of illumination.

Citation Download Citation

Qing-ping Hu, Xiao-hui Zhang, and Chao Liu "Study of adaptive LLL/infrared image color fusion algorithm based on the environment illumination", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 1015722 (1 November 2016); https://doi.org/10.1117/12.2246738

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