Auto-Exposure Algorithm Based on Luminance Histogram and Region Segmentation

Author:

Guo Zhi Hui1,Gu Yuan Bao1,Yao Hong Tao1

Affiliation:

1. Changchun University of Science and Technology

Abstract

This paper proposed an automatic exposure algorithm based on luminance histogram and region segmentation. The method ensures well exposure to the main object under the backlighting or excessive front-lighting conditions, and uses the characteristics of the luminance histogram to judge the scene condition. According to the luminance histogram, if the image under normal light conditions, the method compares the average luminance value of the image with the corresponding reference target brightness value to adjust exposure compensation. If the image under special conditions, the average brightness value will be calculated using fixed-partition method and exposure compensation will be adjusted. The paper combines auto-exposure and auto-gain control to adjust the exposure compensation. As it turns out, this method in a variety of light conditions can achieve well exposure.

Publisher

Trans Tech Publications, Ltd.

Reference9 articles.

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3. Yang Hai-Tao, CHANG Yi-Lin, WANG Jing, HUO Jun-Yan: A New Automatic Exposure Algorithm for Video Cameras Using Luminance Histogram [J]. ACTA OPTICA SINICA Vol. 27 (2007), pp.841-847.

4. Wang Peng, Zhang Qi-Gui, Cheng Yong-Qiang: A New Fast Auto-exposure Algorithm for Video Cameras and Application. http: /www. paper. edu. cn.

5. Min Wu-Guo: The Study of Auto-exposure and Auto-gain on CCD Imaging Electronics System [D], Dalian: Dalian Maritime University (2010), pp.9-50.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adaptive exposure control for image-based visual-servo systems using local gradient information;Journal of the Optical Society of America A;2019-12-06

2. Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning;IEEE Transactions on Visualization and Computer Graphics;2019-10-01

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