• DocumentCode
    285737
  • Title

    Linear filtering techniques for reduction of blockiness

  • Author

    Makur, Anamitra

  • Author_Institution
    Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India
  • Volume
    5
  • fYear
    1992
  • fDate
    10-13 May 1992
  • Firstpage
    2493
  • Abstract
    A computationally easy linear filter, namely, the odd harmonic suppression filter, is proposed to reduce blockiness in images. A simpler mapping from 1-D to 2-D is shown to be more effective for this filter, which produces the same or better improvement than a rectangular or circular filter but requires less computation. Also, use of a prefiltered codebook instead of prefiltering the input image is suggested in the context of a vector quantization coder, and is shown to be not only computationally easy but also subjectively superior
  • Keywords
    block codes; filtering and prediction theory; image coding; blockiness; linear filter; mapping; odd harmonic suppression filter; prefiltered codebook; vector quantization coder; Attenuation; Decoding; Filtering; Frequency; Harmonics suppression; Image coding; Maximum likelihood detection; Nonlinear filters; Transfer functions; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-0593-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1992.230480
  • Filename
    230480