• DocumentCode
    292357
  • Title

    Unitary image transforms and their implementation

  • Author

    Gotze, Joachim ; Sauer, Matthias

  • Author_Institution
    Inst. for Network Theory & Circuit Design, Tech. Univ. Munich, Germany
  • Volume
    1
  • fYear
    1993
  • fDate
    19-21 May 1993
  • Firstpage
    55
  • Abstract
    The authors analyze the discrete wavelet transform (DWT) and the discrete multiwavelet transform (DMWT) and compare them with the Karhunen-Loeve transform (KLT), the discrete cosine transform (DCT), the Haar transform, and the Hadamard transform. The comparison is made with respect to computational complexity, base construction, energy compaction, and implementational aspects. It is shown that wavelet transforms achieve a compaction performance which is comparable to DCT, whereas they require significantly less computational effort, (O(n2)) instead of O(n 2 log n). A VLSI implementation of the DMWT offers the advantage that it can be used for base construction
  • Keywords
    VLSI; computational complexity; image processing; matrix multiplication; transforms; wavelet transforms; VLSI; base construction; compaction performance; computational complexity; computational effort; discrete multiwavelet transform; discrete wavelet transform; energy compaction; implementation; unitary image transforms; Compaction; Computational efficiency; Differential equations; Discrete cosine transforms; Discrete wavelet transforms; Image analysis; Image reconstruction; Karhunen-Loeve transforms; Sparse matrices; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers and Signal Processing, 1993., IEEE Pacific Rim Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-0971-5
  • Type

    conf

  • DOI
    10.1109/PACRIM.1993.407221
  • Filename
    407221