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Reconstruction from limited-angle projections based on spectrum analysis

Journal Article


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Abstract


  • This paper proposes a sparse representation of an

    image using discrete functions. A function is defined

    as the product of a Kronecker delta function and a step

    function. Based on the sparse representation, we have developed

    a novel and effective method for reconstructing an image from

    limited-angle projections. The method first estimates the parameters

    of the sparse representation from the incomplete projection

    data, and then directly calculates the image to be reconstructed.

    Experiments have shown that the proposed method can effectively

    recover the missing data and reconstruct images more accurately

    than the total-variation (TV) regularized reconstruction method.

UOW Authors


  •   Luo, Jianhua (external author)
  •   Li, Wanqing
  •   Zhu, Yuemin (external author)

Publication Date


  • 2010

Citation


  • Luo, J., Li, W. & Zhu, Y. (2010). Reconstruction from limited-angle projections based on spectrum analysis. IEEE Transactions on Image Processing, 19 (1), 131-140.

Scopus Eid


  • 2-s2.0-72949106303

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=10666&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/3330

Number Of Pages


  • 9

Start Page


  • 131

End Page


  • 140

Volume


  • 19

Issue


  • 1

Abstract


  • This paper proposes a sparse representation of an

    image using discrete functions. A function is defined

    as the product of a Kronecker delta function and a step

    function. Based on the sparse representation, we have developed

    a novel and effective method for reconstructing an image from

    limited-angle projections. The method first estimates the parameters

    of the sparse representation from the incomplete projection

    data, and then directly calculates the image to be reconstructed.

    Experiments have shown that the proposed method can effectively

    recover the missing data and reconstruct images more accurately

    than the total-variation (TV) regularized reconstruction method.

UOW Authors


  •   Luo, Jianhua (external author)
  •   Li, Wanqing
  •   Zhu, Yuemin (external author)

Publication Date


  • 2010

Citation


  • Luo, J., Li, W. & Zhu, Y. (2010). Reconstruction from limited-angle projections based on spectrum analysis. IEEE Transactions on Image Processing, 19 (1), 131-140.

Scopus Eid


  • 2-s2.0-72949106303

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=10666&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/3330

Number Of Pages


  • 9

Start Page


  • 131

End Page


  • 140

Volume


  • 19

Issue


  • 1