Visibility enhancement of fog-degraded image using adaptive total variation minimisation

被引:7
|
作者
Yoon, Sang Min [1 ]
机构
[1] Kookmin Univ, HCI Lab, Sch Comp Sci, 77 Jeongneung Ro, Seoul 136702, South Korea
来源
IMAGING SCIENCE JOURNAL | 2016年 / 64卷 / 02期
基金
新加坡国家研究基金会;
关键词
Fog-image enhancement; Adaptive total variation minimisation;
D O I
10.1080/13682199.2015.1133010
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
Images degraded due to bad weather conditions affect the quality of vision-based security systems, as the distortions obscure contrasts in the frames of the images. In this paper, we present a novel approach that uses adaptive total variation minimisation to retain the object and reduce the noise from a single image, thereby enhancing fog-degraded images. Representative experimental results show that our proposed algorithm is effective for contrast and saturation enhancement of fog-degraded images.
引用
收藏
页码:82 / 86
页数:5
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