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Summary: REAL-TIME CONTENT ADAPTIVE CONTRAST ENHANCEMENT FOR SEE-THROUGH
FOG AND RAIN
Zhen Jia1
, Hongcheng Wang2
, Rodrigo Caballero2
, Ziyou Xiong2
, Jianwei Zhao1
and Alan Finn2
1
United Technologies Research Center (China) Ltd., 100 Century Avenue, Shanghai, 200120, P.R. China
2
United Technologies Research Center, 411 Silver Lane, East Hartford, CT 06108, USA
{JiaZ,WangH1,CaballRE,XiongZ,ZhaoJ,FinnAM}@utrc.utc.com
ABSTRACT
In this paper we present a novel algorithm for improving the
visibility of surveillance videos degraded by fog and/or rain.
The proposed algorithm adaptively enhances the global and
local contrast of a surveillance video. The algorithm is in-
spired on the human visual system, and accounts for the per-
ceptual sensitivity to noise, compression artifacts, and the tex-
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