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
相关论文
共 50 条
  • [41] Enhancement MSRCR Algorithm of Color Fog Image Based on the Adaptive Scale
    Gao Yin
    Yun Lijun
    Shi Junsheng
    Chen Feiyan
    Lei Liansha
    6TH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2014), 2014, 9159
  • [42] GPR background removal using a directional total variation minimisation approach
    Rashed, Essam A.
    JOURNAL OF GEOPHYSICS AND ENGINEERING, 2015, 12 (06) : 897 - 908
  • [43] Image decomposition using adaptive second-order total generalized variation
    Jianlou Xu
    Xiangchu Feng
    Yan Hao
    Yu Han
    Signal, Image and Video Processing, 2014, 8 : 39 - 47
  • [44] Image decomposition using adaptive second-order total generalized variation
    Xu, Jianlou
    Feng, Xiangchu
    Hao, Yan
    Han, Yu
    SIGNAL IMAGE AND VIDEO PROCESSING, 2014, 8 (01) : 39 - 47
  • [45] Image Processing for Laser Imaging Using Adaptive Homomorphic Filtering and Total Variation
    Fan, Youchen
    Zhang, Laixian
    Guo, Huichao
    Hao, Hongxing
    Qian, Kechang
    PHOTONICS, 2020, 7 (02)
  • [46] Hyperspectral Image Restoration Using Adaptive Anisotropy Total Variation and Nuclear Norms
    Hu, Ting
    Li, Wei
    Liu, Na
    Tao, Ran
    Zhang, Feng
    Scheunders, Paul
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (02): : 1516 - 1533
  • [47] Medical image denoising using adaptive fusion of curvelet transform and total variation
    Bhadauria, H. S.
    Dewal, M. L.
    COMPUTERS & ELECTRICAL ENGINEERING, 2013, 39 (05) : 1451 - 1460
  • [48] A unified total variation method for underwater image enhancement
    Ding, Xueyan
    Wang, Yafei
    Liang, Zheng
    Fu, Xianping
    KNOWLEDGE-BASED SYSTEMS, 2022, 255
  • [49] GRID WARPING IN TOTAL VARIATION IMAGE ENHANCEMENT METHODS
    Nasonov, Andrey
    Krylov, Andrey
    2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2014, : 4517 - 4521
  • [50] Model-assisted content adaptive detail enhancement and quadtree decomposition for image visibility enhancement
    Alina Majeed Chaudhry
    M. Mohsin Riaz
    Abdul Ghafoor
    Signal, Image and Video Processing, 2023, 17 : 725 - 733