A low illumination image enhancement algorithm based on adaptive fractional differentiation

被引：0
|
作者：
Wang, Liangyan [1 ]
Zhan, Xiaoyi [1 ]
Wang, Chunling [1 ]
Chen, Zihong [1 ]
Xia, Yunfei [1 ]
机构：
[1] Anhui Sanlian Univ, Sch Robot Engn, Hefei 230601, Anhui, Peoples R China
来源：
2020 3RD INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SCIENCE AND APPLICATION TECHNOLOGY (CISAT) 2020 | 2020年 / 1634卷
关键词：
D O I：
10.1088/1742-6596/1634/1/012126
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Using fixed order fractional differential for image enhancement, some regions of the image may not achieve the desired enhancement effect. According to the characteristics of human vision and low illumination image, an adaptive order fractional differential enhancement algorithm is proposed. Three different differential orders are selected for enhancement, and one of them is adaptively selected for each pixel according to the comparison results of gradient values. The experimental results show that the adaptive order can not only enhance the image with high gradient value such as the edge, but also reduce the noise interference in the flat area,which has better visual effect than fixed order enhancement.
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页数：6
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