• DocumentCode
    1840428
  • Title

    An Evaluation Index Based on Parameter Weight for Image Inpainting Quality

  • Author

    Wang, Song ; Li, Hong ; Zhu, Xia ; Li, Ping

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha
  • fYear
    2008
  • fDate
    18-21 Nov. 2008
  • Firstpage
    786
  • Lastpage
    790
  • Abstract
    Traditional image quality evaluation index cannot explicitly reflect image inpainting quality. In order to make more reasonable measures on image inpainting, this paper proposed an evaluation method based on parameter weight through analyzing the reason for subjective distortion feeling after image inpainting. The new method synthetically evaluates image inpainting quality from three aspects: luminance, definition and gradient similarity. Experimental results demonstrate that the novel index can evaluate image inpainting quality more comprehensive and more similar to human eyes feeling than traditional index.
  • Keywords
    image processing; evaluation index; image inpainting quality; luminance; parameter weight; subjective distortion; Digital images; Distortion measurement; Equations; Eyes; Humans; Image analysis; Image quality; Image restoration; Information science; Pixel; Image quality evaluation index; image inpainting; parameter weight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3398-8
  • Electronic_ISBN
    978-0-7695-3398-8
  • Type

    conf

  • DOI
    10.1109/ICYCS.2008.461
  • Filename
    4709074