• DocumentCode
    3325357
  • Title

    SVD based linear filtering in DCT domain

  • Author

    Zhuang, Liansheng ; Zhao, Rui ; Yu, Nenghai ; Liu, Bin

  • Author_Institution
    MOE-MS Key Lab. of Multimedia Comput. & Commun., USTC, Hefei, China
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    2769
  • Lastpage
    2772
  • Abstract
    Efficient linear filtering in DCT domain is important in the area of processing and manipulation of image and video streams compressed in DCT-based method. In this paper, we proposed a novel method for linear filtering in DCT domain, regardless of filter type. We decompose any filter by SVD into weighted separable sub-filters which are well studied. Then we do fast linear filtering using these separable subfilters in DCT domain, and combine their results. To our best knowledge, it is the first method capable to do linear filtering with any type of filters directly in DCT domain. The scheme is demonstrated and discussed by doing Gabor filtering in DCT domain. Experiment results show that convolution result using the proposed solution is the same as that in spatial domain. Furthermore, our scheme is well suitable for distributed computing, which will improve computing speed greatly.
  • Keywords
    Gabor filters; convolution; discrete cosine transforms; filtering theory; image processing; singular value decomposition; Gabor filtering; discrete cosine transforms; distributed computing; image streams; linear filtering; video streams; weighted separable sub-filters; Convolution; Discrete cosine transforms; Gabor filters; Maximum likelihood detection; Nonlinear filters; DCT-domain filtering; Gabor; SVD; compressed-domain processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5651004
  • Filename
    5651004