Low-Light Image Enhancement Based on Transmission Normalization

被引：1
|
作者：
Yang A. [1 ]
Song C. [1 ]
Zhang L. [1 ]
Bai H. [1 ]
Bu L. [1 ]
机构：
[1] School of Electrical and Information Engineering, Tianjin University, Tianjin
来源：
Yang, Aiping (yangaiping@tju.edu.cn) | 2017年 / Tianjin University卷 / 50期
基金：
中国国家自然科学基金;
关键词：
Image enhancement; Normalization; Point dark channel; Transmission; Wiener filtering;
D O I：
10.11784/tdxbz201607033
中图分类号：
学科分类号：
摘要：
The pictures taken in low-light environment such as on a cloudy day or at night have very low SNR, low contrast and strong noise. To solve the problem, under the haze removal framework of dark channel prior theory, a low-light image enhancement method based on transmission normalization is proposed. First, according to the characteristics of low-light image, the model of low-light image enhancement is simplified. Then the transmission is calculated by point dark channel instead of block dark channel and the transmission is further detailed by local Wiener filter in order to retain more image details. Finally, The transmission is directly normalized by the low-light image to get the enhanced image. Experimental results demonstrate that the proposed method is effective not only in needing little computation to get the enhanced image, but also in retaining more image details. © 2017, Editorial Board of Journal of Tianjin University(Science and Technology). All right reserved.
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页码：997 / 1003
页数：6
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