English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 91913/122132 (75%)
Visitors : 25762224      Online Users : 341
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/129954
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/129954


    Title: Image Haze Removal Using Airlight White Correction, Local Light Filter, and Aerial Perspective Prior
    Authors: 彭彥璁
    Peng, Yan-Tsung;Huang*, S.-C.
    呂智慧
    Lu, Zhihui
    鄭帆捷
    Cheng, Fan-Chieh
    黃士嘉
    Huang, Shih-Chia
    Zheng, Yalun
    Contributors: 資科系
    Keywords: image dehazing;white correction;local light filter;aerial perspective prior
    Date: 2019-03
    Issue Date: 2020-05-26 15:08:42 (UTC+8)
    Abstract: Light is scattered and absorbed when travelling through atmosphere particles, leading to visibility attenuation for images captured, especially in hazy scenes. In addition, hazy images may suffer from color distortion caused by haze or sandstorm, resulting in poor visual quality. In order to effectively enhance visibility and correct possible color casts for such images, we propose a new image dehazing algorithm based on an improved haze optical model, which consists of three modules: Airlight White Correction (AWC), Local Light Filter (LLF), and Aerial Perspective Prior (APP). In the proposed algorithm, the AWC module detects and corrects possible color cast, the LLF module downplays non-hazy bright pixels (e.g. headlight and white objects) for more accurate airlight estimation, and the APP module uses the minimum/maximum channel and their difference for scene transmission estimation. Experimental results demonstrate that the proposed method outperforms other state-of-the-art dehazing methods in three ways: 1) our results have better visual quality, 2) our method performs the best in terms of color restoration, and 3) our method is very efficient at removing haze and color casts.
    Relation: IEEE Transactions on Circuits and Systems for Video Technology, pp.1-1 (early access)
    Data Type: article
    DOI 連結: https://doi.org/10.1109/TCSVT.2019.2902795
    DOI: 10.1109/TCSVT.2019.2902795
    Appears in Collections:[資訊科學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    409.pdf6077KbAdobe PDF20View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback