• DocumentCode
    3022010
  • Title

    Interpolation based symmetrical predictor structure for lossless image coding

  • Author

    Jakhetiya, Vinit ; Jaiswal, Sunil Prasad ; Tiwari, Anil Kumar ; Au, Oscar C.

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
  • fYear
    2012
  • fDate
    20-23 May 2012
  • Firstpage
    2913
  • Lastpage
    2916
  • Abstract
    Predictor based algorithms reported in literature uses only causal pixels and hence a non-symmetrical predictor structure for prediction. We observed that the performance of predictor is highly dependent on the predictor structure used. In view of this, we propose a novel interpolation based prediction scheme that enables us to use symmetrical predictor structure. In this sense, we have also used non causal pixels in our scheme. Also, from various interpolation algorithms available, we selected a simple one to ensure decoder simplicity, without any significant loss in performance. From performance evaluation, we found that our algorithm is significantly better in terms of compression performance as compared to some of the computationally complex methods.
  • Keywords
    computational complexity; decoding; image coding; interpolation; predictor-corrector methods; computationally complex methods; decoder simplicity; interpolation; lossless image coding; noncausal pixels; nonsymmetrical predictor structure; Algorithm design and analysis; Decoding; Image coding; Image edge detection; Image reconstruction; Interpolation; Prediction algorithms; Computational complexity; Interpolation; Lossless Image Compression; Symmetrical Predictor Structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
  • Conference_Location
    Seoul
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-0218-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2012.6271925
  • Filename
    6271925