• DocumentCode
    884924
  • Title

    Image Decomposition and Texture Segmentation via Sparse Representation

  • Author

    Zhang, Fan ; Ye, Xiaoqiong ; Liu, Wenyu

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
  • Volume
    15
  • fYear
    2008
  • fDate
    6/30/1905 12:00:00 AM
  • Firstpage
    641
  • Lastpage
    644
  • Abstract
    Decomposing an image into a texture part and a non-texture (cartoon) part, as well as grouping the texture part into several homogeneous subparts, is studied in this letter. The so-called texture part is composed of both the self-similar structure and the oscillatory noise. The self-similar structure of each homogenous subtexture is captured in its principal subspace. Both the segmentation and the decomposition are essentially related to sparse representation and are united to a framework.
  • Keywords
    image representation; image segmentation; image texture; principal component analysis; homogenous subtexture; image decomposition; oscillatory noise; self-similar structure; sparse representation; texture segmentation; Convolution; Frequency; Hilbert space; Image decomposition; Image segmentation; Kernel; Minimization methods; Principal component analysis; Unsupervised learning; Watermarking; Clustering; principal component analysis (PCA); sparse representation; texture; total variation; unsupervised learning;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2008.2002722
  • Filename
    4639574