• Login
    View Item 
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 39 (2020)
    • 39-Issue 1
    • View Item
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 39 (2020)
    • 39-Issue 1
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Example‐Based Colourization Via Dense Encoding Pyramids

    Thumbnail
    View/Open
    v39i1pp020-033.pdf (6.878Mb)
    Date
    2020
    Author
    Xiao, Chufeng
    Han, Chu
    Zhang, Zhuming
    Qin, Jing
    Wong, Tien‐Tsin
    Han, Guoqiang
    He, Shengfeng ORCID
    Pay-Per-View via TIB Hannover:

    Try if this item/paper is available.

    Metadata
    Show full item record
    Abstract
    We propose a novel deep example‐based image colourization method called dense encoding pyramid network. In our study, we define the colourization as a multinomial classification problem. Given a greyscale image and a reference image, the proposed network leverages large‐scale data and then predicts colours by analysing the colour distribution of the reference image. We design the network as a pyramid structure in order to exploit the inherent multi‐scale, pyramidal hierarchy of colour representations. Between two adjacent levels, we propose a hierarchical decoder–encoder filter to pass the colour distributions from the lower level to higher level in order to take both semantic information and fine details into account during the colourization process. Within the network, a novel parallel residual dense block is proposed to effectively extract the local–global context of the colour representations by widening the network. Several experiments, as well as a user study, are conducted to evaluate the performance of our network against state‐of‐the‐art colourization methods. Experimental results show that our network is able to generate colourful, semantically correct and visually pleasant colour images. In addition, unlike fully automatic colourization that produces fixed colour images, the reference image of our network is flexible; both natural images and simple colour palettes can be used to guide the colourization.
    BibTeX
    @article {10.1111:cgf.13659,
    journal = {Computer Graphics Forum},
    title = {{Example‐Based Colourization Via Dense Encoding Pyramids}},
    author = {Xiao, Chufeng and Han, Chu and Zhang, Zhuming and Qin, Jing and Wong, Tien‐Tsin and Han, Guoqiang and He, Shengfeng},
    year = {2020},
    publisher = {© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13659}
    }
    URI
    https://doi.org/10.1111/cgf.13659
    https://diglib.eg.org:443/handle/10.1111/cgf13659
    Collections
    • 39-Issue 1

    Eurographics Association copyright © 2013 - 2020 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA
     

     

    Browse

    All of Eurographics DLCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    BibTeX | TOC

    Create BibTeX Create Table of Contents

    Eurographics Association copyright © 2013 - 2020 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA