An Efficient and Integrated Algorithm for Video Enhancement in   Challenging Lighting Conditions
  We describe a novel integrated algorithm for real-time enhancement of video acquired under challenging lighting conditions. Such conditions include low lighting, haze, and high dynamic range situations. The algorithm automatically detects the dominate source of impairment, then depending on whether it is low lighting, haze or others, a corresponding pre-processing is applied to the input video, followed by the core enhancement algorithm. Temporal and spatial redundancies in the video input are utilized to facilitate real-time processing and to improve temporal and spatial consistency of the output. The proposed algorithm can be used as an independent module, or be integrated in either a video encoder or a video decoder for further optimizations. 
Xuan Dong, Jiangtao (Gene) Wen, Weixin Li, Yi (Amy) Pang, Guan Wang,   Yao Lu, Wei Meng
cs.GR cs.CV