• DocumentCode
    1198969
  • Title

    Infinity-Norm Rotation Transforms

  • Author

    Yang, Lei ; Hao, Pengwei

  • Author_Institution
    Center for Inf. Sci., Peking Univ., Beijing
  • Volume
    57
  • Issue
    7
  • fYear
    2009
  • fDate
    7/1/2009 12:00:00 AM
  • Firstpage
    2594
  • Lastpage
    2603
  • Abstract
    A new general paradigm of dynamic-range-preserving one-to-one mapping-infinity-norm rotations, analogous to the general 2-norm rotations, are proposed in this paper. Analogous to the well-known discrete cosine transforms, the linear 2-norm rotation transforms which preserve the 2-norm of the rotated vectors, the proposed infinity-norm rotation transforms are piecewise linear transforms which preserve the infinity-norm of vectors. Besides the advantages of perfect reversibility, in-place calculation and dynamic range preservation, the infinity-norm rotation transforms also have good energy-compact ability, which is suitable for signal compression and analysis. It can be implemented by shear transforms based on the 2-D rotation factorization of similar orthogonal transform matrices, such as DCT matrices. The performance of the new transforms is illustrated with 2-D patterns and histograms. Its good performance in lossy and lossless image compression, compared with other integer reversible transforms, is demonstrated in the experiments.
  • Keywords
    data compression; piecewise linear techniques; signal processing; DCT matrices; discrete cosine transforms; dynamic-range-preserving one-to-one mapping; infinity-norm rotation transforms; integer reversible transforms; linear 2-norm rotation transforms; lossless image compression; lossy image compression; piecewise linear transforms; signal compression; Discrete cosine transform; dynamic range; infinity-norm rotation; integer reversible transform; transform coding;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2009.2018631
  • Filename
    4803748