• Login
    View Item 
    •   Eurographics DL Home
    • Eurographics Partner Events
    • VMV: Vision, Modeling, and Visualization
    • VMV17
    • View Item
    •   Eurographics DL Home
    • Eurographics Partner Events
    • VMV: Vision, Modeling, and Visualization
    • VMV17
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Semantic-Aware Image Smoothing

    Thumbnail
    View/Open
    153-160.pdf (3.705Mb)
    Date
    2017
    Author
    Li, Weihao
    Jafari, Omid Hosseini
    Rother, Carsten
    Pay-Per-View via TIB Hannover:

    Try if this item/paper is available.

    Metadata
    Show full item record
    Abstract
    Structure-preserving image smoothing aims to extract semantically meaningful image structure from texture, which is one of the fundamental problems in computer vision and graphics. However, it is still not clear how to define this concept. On the other hand, semantic image labeling has achieved significant progress recently and has been widely used in many computer vision tasks. In this paper, we present an interesting observation, i.e. high-level semantic image labeling information can provide a meaningful structure prior naturally. Based on this observation, we propose a simple and yet effective method, which we term semantic smoothing, by exploiting the semantic information to accomplish semantically structure-preserving image smoothing. We show that our approach outperforms the state-of-the-art approaches in texture removal by considering the semantic information for structure preservation. Also, we apply our approach to three applications: detail enhancement, edge detection, and image segmentation, and we demonstrate the effectiveness of our semantic smoothing method on these problems.
    BibTeX
    @inproceedings {vmv.20171271,
    booktitle = {Vision, Modeling & Visualization},
    editor = {Matthias Hullin and Reinhard Klein and Thomas Schultz and Angela Yao},
    title = {{Semantic-Aware Image Smoothing}},
    author = {Li, Weihao and Jafari, Omid Hosseini and Rother, Carsten},
    year = {2017},
    publisher = {The Eurographics Association},
    ISBN = {978-3-03868-049-9},
    DOI = {10.2312/vmv.20171271}
    }
    URI
    http://dx.doi.org/10.2312/vmv.20171271
    https://diglib.eg.org:443/handle/10.2312/vmv20171271
    Collections
    • VMV17

    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