Low-light Image Enhancement Method by Variable e-Filter and Multiscale Smoothing-based Image Enhancement

被引:0
|
作者
Mukaida, Mashiho [1 ]
Suetake, Noriaki [1 ]
机构
[1] Yamaguchi Univ, 1677-1 Yoshida, Yamaguchi, Japan
关键词
low-light image; contrast enhancement; noise removal;
D O I
10.1117/12.3018179
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recently, a lot of low-light image enhancement methods have been proposed. However, the conventional methods have some problems such as causing over enhancement in bright regions and/or noise amplification in dark regions. In this paper, we propose a new low-light image enhancement method to cope with these problems. In the proposed method, the dark and flat regions, where noise tends to be amplified, are smoothed by applying variable epsilon-filter to the input image. Then, the contrast of image is enhanced by applying multiscale smoothing-based image enhancement method. In the experiments, the effectiveness of the proposed method is verified by comparisons with the state-of-the-art low-light image enhancement methods.
引用
收藏
页数:6
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