Single Haze Image Restoration Under Non-Uniform Dense Scattering Media

被引:0
|
作者
Wang, Yingbo [1 ]
Cao, Jie [1 ]
Rizvi, Saad [1 ]
Hao, Qun [1 ]
机构
[1] Minist Educ, Sch Opt & Photon, Key Lab Biomimet Robots & Syst, Beijing Inst Technol, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Image restoration; Scattering; Image color analysis; Optical filters; Atmospheric modeling; Estimation; Channel estimation; Atmospheric optics; visibility restoration; non-uniform scattering; block optimization; CONTRAST ENHANCEMENT; VISIBILITY; WEATHER;
D O I
10.1109/LSP.2021.3097657
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We demonstrate an efficient restoration method based on sky segmentation and block optimized transmission (SSBOT) to restore the visibility of single haze image under non-uniform scattering medium. The SSBOT method uses sky region segmentation to determine the haze-opaque region, and estimates the global atmospheric light using quadtree-decomposition. The proposed SSBOT estimates the transmission in every sub-images of the degraded image with dark channel method with coefficient correction. The experimental results show that SSBOT can efficiently restore images degraded by non-uniform dense scattering medium. The proposed method can be used for various security and surveillance applications.
引用
收藏
页码:1625 / 1629
页数:5
相关论文
共 42 条
  • [1] Fast Visibility Restoration Using a Single Degradation Image in Scattering Media
    Wang, Yingbo
    Cao, Jie
    Xu, Chengqiang
    Rizvi, Saad
    Li, Kun
    Hao, Qun
    IEEE PHOTONICS JOURNAL, 2020, 12 (03):
  • [2] Restoration of non-uniform exposure motion blurred image
    Luo, Yuanhong
    Xu, TIngfa
    Wang, NingMing
    Liu, Feng
    INTERNATIONAL SYMPOSIUM ON OPTOELECTRONIC TECHNOLOGY AND APPLICATION 2014: IMAGE PROCESSING AND PATTERN RECOGNITION, 2014, 9301
  • [3] Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset
    Berman, Dana
    Levy, Deborah
    Avidan, Shai
    Treibitz, Tali
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 43 (08) : 2822 - 2837
  • [4] Underwater Image Restoration Based on Non-Uniform Incident Light Imaging Model
    Jian Mengzhen
    Li Dan
    Zhang Jianqiu
    ACTA OPTICA SINICA, 2021, 41 (15)
  • [5] Visibility restoration of single image captured in dust and haze weather conditions
    Yang, Yan
    Zhang, Chen
    Liu, Longlong
    Chen, Gaoke
    Yue, Hui
    MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2020, 31 (02) : 619 - 633
  • [6] Unsupervised image enhancement under non-uniform illumination based on CNNs
    Lin, Feng
    Zhang, Huaqing
    Wang, Jian
    Wang, Jun
    NEURAL NETWORKS, 2024, 170 : 202 - 214
  • [7] GPU fast restoration of non-uniform illumination images
    Kuanhong Cheng
    Yue Yu
    Huixin Zhou
    Dong Zhao
    Kun Qian
    Journal of Real-Time Image Processing, 2021, 18 : 75 - 83
  • [8] GPU fast restoration of non-uniform illumination images
    Cheng, Kuanhong
    Yu, Yue
    Zhou, Huixin
    Zhao, Dong
    Qian, Kun
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2021, 18 (01) : 75 - 83
  • [9] Multiple-image-based restoration for motion blur with non-uniform point spread function
    Patanukhom, Karn
    Nishihara, Akinori
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2008, E91A (08) : 1924 - 1934
  • [10] Fast Single Image Haze Removal Method for Inhomogeneous Environment Using Variable Scattering Coefficient
    Gupta, Rashmi
    Khari, Manju
    Gupta, Vipul
    Verdu, Elena
    Wu, Xing
    Herrera-Viedma, Enrique
    Gonzalez Crespo, Ruben
    CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2020, 123 (03): : 1175 - 1192