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
[1]   The discontinuity set of solutions of the TV denoising problem and some extensions [J].
Caselles, Vicent ;
Chambolle, Antonin ;
Novaga, Matteo .
MULTISCALE MODELING & SIMULATION, 2007, 6 (03) :879-894
[2]  
Dongjun Kim, 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2008), P64, DOI 10.1109/MFI.2008.4648109
[3]   The Split Bregman Method for L1-Regularized Problems [J].
Goldstein, Tom ;
Osher, Stanley .
SIAM JOURNAL ON IMAGING SCIENCES, 2009, 2 (02) :323-343
[4]   Single Image Haze Removal Using Dark Channel Prior [J].
He, Kaiming ;
Sun, Jian ;
Tang, Xiaoou .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2011, 33 (12) :2341-2353
[5]   Optimized contrast enhancement for real-time image and video dehazing [J].
Kim, Jin-Hwan ;
Jang, Won-Dong ;
Sim, Jae-Young ;
Kim, Chang-Su .
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2013, 24 (03) :410-425
[6]  
LANCASTER P, 1981, MATH COMPUT, V37, P141, DOI 10.1090/S0025-5718-1981-0616367-1
[7]   A Framework for Moving Least Squares Method with Total Variation Minimizing Regularization [J].
Lee, Yeon Ju ;
Lee, Sukho ;
Yoon, Jungho .
JOURNAL OF MATHEMATICAL IMAGING AND VISION, 2014, 48 (03) :566-582
[8]  
Levin D, 2004, MATH VISUAL, P37
[9]   Weakly constrained minimization: Application to the estimation of images and signals involving constant regions [J].
Nikolova, M .
JOURNAL OF MATHEMATICAL IMAGING AND VISION, 2004, 21 (02) :155-175
[10]   Local strong homogeneity of a regularized estimator [J].
Nikolova, M .
SIAM JOURNAL ON APPLIED MATHEMATICS, 2000, 61 (02) :633-658