NDLI: Night video enhancement using improved dark channel prior

Content Provider	IEEE Xplore Digital Library
Author	Xuesong Jiang Hongxun Yao Shengping Zhang Xiusheng Lu Wei Zeng
Copyright Year	2013
Description	Author affiliation: NEC Labs., China (Wei Zeng) \|\| Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China (Xuesong Jiang; Hongxun Yao; Shengping Zhang; Xiusheng Lu)
Abstract	Videos taken under low lighting condition usually have serious loss of visibility and contrast and are inconvenient for observation and analysis. To solve this problem, this paper presents a real-time night video enhancement approach. As observed that a pixel-wise inversion of a night video has quite similar appearance with the video acquired at foggy days, we use the similar idea of haze removal method to enhance the perceptual quality of the night videos. We present an improved dark channel prior model and integrate it with local smoothing and image Gaussian Pyramid operators. The experimental results demonstrate that the proposed approach can improve the perceptual quality of night videos in real-time in terms of not only enhancing details, but also effectively avoiding excessive enhancement phenomenon.
Starting Page	553
Ending Page	557
File Size	10333373
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738114
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Streaming media Lighting Real-time systems Atmospheric modeling Computer vision Image color analysis Cameras Gaussian pyramid night video enhancement dark channel prior local smoothing
Content Type	Text
Resource Type	Article

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