A new adaptive contrast enhancement algorithm for infrared images based on double plateaus histogram equalization |
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| Authors: | Kun Liang Yong Ma Yue Xie Bo Zhou Rui Wang |
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| Institution: | 1. College of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan 610064, PR China;2. School of Electrical Engineering and Information, Sichuan University, Chengdu, Sichuan 610064, PR China;1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;2. Computer School, Central China Normal University, Wuhan 430079, China;1. School of Automation, Huazhong University of Science and Technology, Wuhan, China;2. National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Wuhan, PR China |
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| Abstract: | In infrared images, detail pixels are easily immerged in large quantity of low-contrast background pixels. According to these characteristics, an adaptive contrast enhancement algorithm based on double plateaus histogram equalization for infrared images was presented in this paper. Traditional double plateaus histogram equalization algorithm used constant threshold and could not change the threshold value in various scenes, so that its practical usage is limited. In the proposed algorithm, the upper and lower threshold value could be calculated by searching local maximum and predicting minimum gray interval and be updated in real time. With the proposed algorithm, the background of infrared image was constrained while the details could also be enhanced. Experimental results proved that the proposed algorithm can effectively enhance the contrast of infrared images, especially the details of infrared images. |
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