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Enhancing nighttime surveillance video via gradient fusion

This paper presents an effective method to enhance the quality of dim light surveillance via gradient fusion. We simply take the advantage that surveillance cameras capture a large quantity of valuable information at the same viewpoint during the day. And it can be used to make the video at night easier to perceive. Based on a gradient domain technique, all the important local perceptual cues from the original video are automatically combined with the supporting daytime context, while avoiding traditional problems such as aliasing, ghosting and haloing. Experimental results show that our method outperforms the state-of-the-art ones, and can even handle some challenging conditions without altering the parameters.