• DocumentCode
    2450818
  • Title

    Example-based image upscaling using parallel texture synthesis

  • Author

    Zheng, Rugang ; Sheng, Bin ; Ma, Lizhuang

  • Author_Institution
    Dept. of Comput. Sci. & Eng., China
  • fYear
    2012
  • fDate
    16-18 July 2012
  • Firstpage
    710
  • Lastpage
    715
  • Abstract
    This paper presents an example-based superresolution image upscale method which extends the current framework. In our approach, we rely on several external example images to represent different scales of the original image. We perform a parallel texture synthesis to reconstruct the miss information in the target image by upsampling. After that, we use correction to make the result more matching to the original low-resolution image. What´s more, since the self-loop of example image is allowed, we can create infinitely magnified image which is not practical for current upscale schemas. The abstract is to be in fully-justified italicized text, at the top of the left-hand column as it is here, below the author information. Use the word “Abstract” as the title, in 12-point Times, boldface type, centered relative to the column, initially capitalized. The abstract is to be in 10-point, single-spaced type, and up to 150 words in length. Leave two blank lines after the abstract, then begin the main text.
  • Keywords
    image reconstruction; image representation; image resolution; image texture; example-based superresolution image upscale method; external example images; image scale representation; low-resolution image; parallel texture synthesis; target image miss information reconstruction; Abstracts; Acceleration; Graphics processing units; Image edge detection; Image reconstruction; Image resolution; Interpolation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0173-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2012.6376707
  • Filename
    6376707