• DocumentCode
    1299614
  • Title

    A Texture-Aware Salient Edge Model for Image Retargeting

  • Author

    Wonjun Kim ; Changick Kim

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
  • Volume
    18
  • Issue
    11
  • fYear
    2011
  • Firstpage
    631
  • Lastpage
    634
  • Abstract
    Image retargeting aims at adapting a given image to fit the size of arbitrary displays without severe visual distortions. To achieve this task successfully, it is essential to define a reliable image importance map (IIM) since it guides subsequent retargeting procedures. In this letter, we introduce a novel IIM for effective image retargeting. Specifically, we define our IIM by exploiting the higher order statistics (HOS) of the diffusion space for image retargeting. We call it texture-aware salient edge (TASE) map. Based on the proposed TASE map, we obtain visually acceptable retargeting results, even in the cluttered background and in the presence of noise as well. The proposed method has been extensively tested, and experimental results show that the proposed scheme is effective for image retargeting compared to other various state-of-the-art methods.
  • Keywords
    display devices; image texture; statistics; IIM; diffusion space; higher order statistics; image retargeting; reliable image importance map; texture aware salient edge map; texture aware salient edge model; visual distortion; Equations; Higher order statistics; Image edge detection; Indexes; Noise; Reliability; Visualization; Diffusion space; higher order statistics; image importance map; texture-aware salient edge map;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2011.2165337
  • Filename
    5986690