A New Efficient Illumination Compensation Algorithm for Enhancing Nighttime Videos

Abstract

Since many activities of interest often occur in the dark environment, nighttime video enhancement is important for video surveillance. In this paper, we propose a novel and effective nighttime video enhancement algorithm for video surveillance applications by using illumination compensation, which fuses video frames from high quality daytime background and low quality nighttime video. For further improving the perceptual quality of the moving objects, an algorithm based on object region ratio average is also proposed. Experimental results show that the proposed algorithm can obviously improve the visual quality from the conventional methods.