• Login
    View Item 
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 34 (2015)
    • 34-Issue 6
    • View Item
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 34 (2015)
    • 34-Issue 6
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Fast Rendering of Image Mosaics and ASCII Art

    Thumbnail
    View/Open
    v34i6pp251-261.pdf (19.34Mb)
    Date
    2015
    Author
    Markuš, Nenad
    Fratarcangeli, Marco
    Pandžić, Igor S.
    Ahlberg, Jörgen
    Pay-Per-View via TIB Hannover:

    Try if this item/paper is available.

    Metadata
    Show full item record
    Abstract
    An image mosaic is an assembly of a large number of small images, usually called , taken from a specific dictionary/codebook. When viewed as a whole, the appearance of a single large image emerges, i.e. each tile approximates a small block of pixels. ASCII art is a related (and older) graphic design technique for producing images from printable characters. Although automatic procedures for both of these visualization schemes have been studied in the past, some are computationally heavy and cannot offer real‐time and interactive performance. We propose an algorithm able to reproduce the quality of existing non‐photorealistic rendering techniques, in particular ASCII art and image mosaics, obtaining large performance speed‐ups. The basic idea is to partition the input image into a rectangular grid and use a decision tree to assign a tile from a pre‐determined codebook to each cell. Our implementation can process video streams from webcams in real time and it is suitable for modestly equipped devices. We evaluate our technique by generating the renderings of a variety of images and videos, with good results. The source code of our engine is publicly available.An image mosaic is an assembly of a large number of small images, usually called , taken from a specific dictionary/codebook. When viewed as a whole, the appearance of a single large image emerges, i.e. each tile approximates a small block of pixels. ASCII art is a related (and older) graphic design technique for producing images from printable characters. Although automatic procedures for both of these visualization schemes have been studied in the past, some are computationally heavy and cannot offer real‐time and interactive performance. We propose an algorithm able to reproduce the quality of existing non‐photorealistic rendering techniques, in particular ASCII art and image mosaics, obtaining large performance speed‐ups. The basic idea is to partition the input image into a rectangular grid and use a decision tree to assign a tile from a pre‐determined codebook to each cell. Our implementation can process video streams from webcams in real time and it is suitable for modestly equipped devices. We evaluate our technique by generating the renderings of a variety of images and videos, with good results. The source code of our engine is publicly available.
    BibTeX
    @article {10.1111:cgf.12597,
    journal = {Computer Graphics Forum},
    title = {{Fast Rendering of Image Mosaics and ASCII Art}},
    author = {Markuš, Nenad and Fratarcangeli, Marco and Pandžić, Igor S. and Ahlberg, Jörgen},
    year = {2015},
    publisher = {Copyright © 2015 The Eurographics Association and John Wiley & Sons Ltd.},
    DOI = {10.1111/cgf.12597}
    }
    URI
    http://dx.doi.org/10.1111/cgf.12597
    Collections
    • 34-Issue 6

    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