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
  • [41] Iterative Image Dehazing Using the Dark Channel Prior
    Lee, Sung-Ho
    Jung, Seung-Won
    Ko, Sung-Jea
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2016, E99A (10) : 1904 - 1906
  • [42] Image dehazing based on improved dark channel algorithm
    Shao Ming-sheng
    CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS, 2019, 34 (07) : 690 - 697
  • [43] Single image dehazing using gradient channel prior
    Dilbag Singh
    Vijay Kumar
    Manjit Kaur
    Applied Intelligence, 2019, 49 : 4276 - 4293
  • [44] Improving Dark Channel Prior for Single Image Dehazing
    Hassanpour, H.
    Azari, F.
    Asadi, S.
    INTERNATIONAL JOURNAL OF ENGINEERING, 2015, 28 (06): : 880 - 887
  • [45] Single Image Dehazing Based on Weighted Dark Channel
    Shin, Hong-Kyu
    Kim, Joon-Yeon
    Lee, Han-Kyu
    Ko, Sung-Jea
    2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2019,
  • [46] Spectral Dual-Channel Encoding for Image Dehazing
    Zhu, Zhanchen
    Zhang, Daokun
    Wang, Zhikang
    Feng, Siyuan
    Duan, Peibo
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 33 (11) : 6236 - 6248
  • [47] Single Image Dehazing Based on Middle Channel Compensation
    Yang A.-P.
    Xing J.-N.
    Liu J.
    Li X.-X.
    Dongbei Daxue Xuebao/Journal of Northeastern University, 2021, 42 (02): : 180 - 188
  • [48] Single image dehazing using gradient channel prior
    Singh, Dilbag
    Kumar, Vijay
    Kaur, Manjit
    APPLIED INTELLIGENCE, 2019, 49 (12) : 4276 - 4293
  • [49] Single Image Dehazing Based on Pixel Minimum Channel
    Hsieh, Cheng-Hsiung
    Chen, Chun-Yu
    Dai, You-Jun
    PROCEEDINGS OF 2016 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2016,
  • [50] Locally Adaptive Color Correction for Underwater Image Dehazing and Matching
    Ancuti, Codruta O.
    Ancuti, Cosmin
    De Vleeschouwer, Christophe
    Garcia, Rafael
    2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW), 2017, : 997 - 1005