A novel low illumination image enhancement algorithm

被引：0
|
作者：
机构：
[1] School of Information and Electric Engineering, China University of Mining and Technology, Xuzhou, Jiangsu
来源：
Qian, J. (qianjsh@cumt.edu.cn) | 1600年 / Advanced Institute of Convergence Information Technology, Myoungbo Bldg 3F,, Bumin-dong 1-ga, Seo-gu, Busan, 602-816, Korea, Republic of卷 / 07期
关键词：
Fuzzy entropy; Homogeneity measurement; Low illumination;
D O I：
10.4156/jcit.vol7.issue22.62
中图分类号：
学科分类号：
摘要：
In confined space the low illumination monitoring images acquired are mostly the characteristic of uneven illumination, details unclear, poor contrast. On the purpose of the better visibility and understanding for low illumination images, the proposed method improved the homogeneity measurement with fuzzy entropy and fractal dimension, in order to select the reasonable pixels in the pending sub-region and reduce noises as possibly. It was experimented on large of low illumination images and evaluated by using the metrics for the enhanced images, the results proved that the proposed method was efficient for avoiding over-enhancement and preserving better light and dark contrast and details.
引用
收藏
页码：525 / 532
页数：7
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