On the Applications of Multimedia Processing to Telecommunications

  • Authors:
  • R. Cox;B. Haskell;Y. L. Cun;B. Shahraray;L. Rabiner

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
  • Year:
  • 1997

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Abstract

A new class of wavelet filters, shift-invariant wavelet filters, is proposed for the purpose of image coding. The existing approaches obtain shift-invariant wavelet transform by finding the path in the full decomposition tree that minimizes shift-variance with respect to a given cost function. This procedure is signal dependent and is inefficient for image coding, since the subband decomposition has to be per-formed for all shifts of input image during processing time. The shift-invariant wavelet transform proposed in this pa-per has better shift-invariant property compared with the conventional dyadic wavelet transform without changing dyadic structure. It is also independent of the input images. Experimental results in image coding show that the shift-invariant wavelet transform has better energy compaction property. Two bit-allocation schemes, which are suitable for the proposed shift-invariant wavelet transform coding, are proposed and evaluated.