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
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
相关论文
共 16 条
[11]   Improving image quality in poor visibility conditions using a physical model for contrast degradation [J].
Oakley, JP ;
Satherley, BL .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 1998, 7 (02) :167-179
[12]  
Park D., 2012, IEEE INT C CONS EL, P141
[13]   NONLINEAR TOTAL VARIATION BASED NOISE REMOVAL ALGORITHMS [J].
RUDIN, LI ;
OSHER, S ;
FATEMI, E .
PHYSICA D, 1992, 60 (1-4) :259-268
[14]  
Tan R., 2008, P IEEE CVPR, P1
[15]   Fast Visibility Restoration from a Single Color or Gray Level Image [J].
Tarel, Jean-Philippe ;
Hautiere, Nicolas .
2009 IEEE 12TH INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2009, :2201-2208
[16]  
Tomasi C., 1999, ICCV, P836