Color Channel Transfer for Image Dehazing

被引:37
|
作者
Ancuti, Codruta Orniana [1 ]
Ancuti, Cosmin [1 ,2 ]
De Vleeschouwer, Christophe [3 ]
Sbetr, Mateu [2 ]
机构
[1] Univ Politehn Timisoara, ETcTI, Timisoara 300006, Romania
[2] Univ Girona, Inst Informat & Applicat, Girona 17004, Spain
[3] Catholic Univ Louvain, ICTEAM, B-1348 Louvain La Neuve, Belgium
基金
欧盟地平线“2020”;
关键词
Color transfer; dehazing; underwater; image enhancement;
D O I
10.1109/LSP.2019.2932189
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
In this letter we introduce a simple but effective concept, Color Channel Transfer (CCT), that is able to substantially improve the performance of various dehazing techniques. CCT is motivated by a key observation: in scattering media the information from at least one color channel presents high attenuation. To compensate for the loss of information in one color channel, CCT employs a color-transfer strategy and operates in a color opponent space that helps to compensate automatically the chromatic loss. The reference is computed by combining the details and saliency of the initial image with uniform gray image that assures a balanced chromatic distribution. The extensive qualitative and quantitative experiments demonstrate the utility of CCT as a preprocessing step for various dehazing problems such as day-time dehazing, night-time dehazing, and underwater image dehazing.
引用
收藏
页码:1413 / 1417
页数:5
相关论文
共 50 条
  • [1] Image Dehazing Based on Improved Color Channel Transfer and Multiexposure Fusion
    Ma, Shaojin
    Pan, Weiguo
    Liu, Hongzhe
    Dai, Songyin
    Xu, Bingxin
    Xu, Cheng
    Li, Xuewei
    Guan, Huaiguang
    ADVANCES IN MULTIMEDIA, 2023, 2023
  • [2] Local Color Transfer Based on Dark Channel Dehazing for Visible/Infrared Image Fusion
    Zhang Bei
    Wang Lingxue
    VISUAL INFORMATION PROCESSING XX, 2011, 8056
  • [3] Fuzzy Logic-Refined Color Channel Transfer Synergism based Image Dehazing
    Banerjee, Sriparna
    Chaki, Shambhab
    Jana, Soham
    Chaudhuri, Sheli Sinha
    2020 IEEE REGION 10 SYMPOSIUM (TENSYMP) - TECHNOLOGY FOR IMPACTFUL SUSTAINABLE DEVELOPMENT, 2020, : 654 - 657
  • [4] Single image dehazing using a new color channel
    Sahu, Geet
    Seal, Ayan
    Krejcar, Ondrej
    Yazidi, Anis
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2021, 74
  • [5] Single image dehazing using a new color channel
    Sahu, Geet
    Seal, Ayan
    Krejcar, Ondrej
    Yazidi, Anis
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2021, 74
  • [6] Estimation of minimum color channel using difference channel in single image Dehazing
    Raikwar, Suresh Chandra
    Tapaswi, Shashikala
    MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (21-23) : 31837 - 31863
  • [7] Estimation of minimum color channel using difference channel in single image Dehazing
    Suresh Chandra Raikwar
    Shashikala Tapaswi
    Multimedia Tools and Applications, 2021, 80 : 31837 - 31863
  • [8] Nighttime image Dehazing with modified models of color transfer and guided image filter
    Bo Jiang
    Hongqi Meng
    Xiaolei Ma
    Lin Wang
    Yan Zhou
    Pengfei Xu
    Siyu Jiang
    Xianjia Meng
    Multimedia Tools and Applications, 2018, 77 : 3125 - 3141
  • [9] Nighttime image Dehazing with modified models of color transfer and guided image filter
    Jiang, Bo
    Meng, Hongqi
    Ma, Xiaolei
    Wang, Lin
    Zhou, Yan
    Xu, Pengfei
    Jiang, Siyu
    Meng, Xianjia
    MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (03) : 3125 - 3141
  • [10] Color image dehazing using surround filter and dark channel prior
    Nair, Deepa
    Sankaran, Praveen
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2018, 50 : 9 - 15