Volume 40 Issue 10
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LIU Cao, ZHENG Hong, LI Xi. A Method for Intersection Traffic Image Enhancement Based on Adaptive Brightness Baseline Drift[J]. Geomatics and Information Science of Wuhan University, 2015, 40(10): 1381-1385. DOI: 10.13203/j.whugis20130717
Citation: LIU Cao, ZHENG Hong, LI Xi. A Method for Intersection Traffic Image Enhancement Based on Adaptive Brightness Baseline Drift[J]. Geomatics and Information Science of Wuhan University, 2015, 40(10): 1381-1385. DOI: 10.13203/j.whugis20130717
shu

A Method for Intersection Traffic Image Enhancement Based on Adaptive Brightness Baseline Drift

  • 1.

    Electronic Information School, Wuhan University, Wuhan 430072, China;

  • 2.

    Hubei Research and Development Center of Vision Perception and Intelligent Trasportation Technology, Wuhan 430072, China;

  • 3.

    Electronic Information School, Wuhan Institute of Technology, Wuhan 430205, China

Funds: The National Key Basic Research Development Program (973 Program) of China, No.2012CB719905.
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  • Received Date: December 01, 2013
  • Published Date: October 04, 2015
    Graphical Abstract
    • Abstract
  • As most enhancement methods do not consider the simultaneous relationship among images, light intensity, and shooting times, this paper proposes an enhancement algorithm for all-weather intersection traffic images based on adaptive brightness baseline drift (ABBD) according to illumination variations at different times. The algorithm establishes a brightness benchmark curve according to the changing illumination at different times, and then an adaptive brightness benchmark model is set up based on the brightness benchmark curve and the real-time brightness feedback. The proposed algorithm uses the brightness benchmark model to enhance the brightness of the image adaptively. Experimental results show the method's effectiveness for image enhancement in all-weather and different light conditions, as well as its robustness under different weather conditions.
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    • References (11)
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