• DocumentCode
    2269633
  • Title

    Optimal subband decoding

  • Author

    Nosratinia, Aria

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    26-29 Oct 1997
  • Firstpage
    641
  • Abstract
    This paper addresses the question of optimal subband decoding, given a system of subband analysis filters and a predetermined quantization strategy. Optimal analysis-synthesis pairs are of great interest, but have been characterized only under very strong (and impractical) conditions. Limiting our attention to the decoder, we find optimal synthesis filters by solving a system of regression equations. Neither high-rate quantization, whiteness of the quantization noise, nor optimality of the quantizer is assumed. Optimal coefficients are independent of the internal machinery of the quantizers, and can therefore be used with “canned” software packages. Only knowledge of the analysis filter bank is assumed. Preliminary experiments show modest gains, on the order of 0.1-0.3 dB, by applying this method to one-stage reproduction of natural images from zerotree quantizers
  • Keywords
    band-pass filters; circuit optimisation; data compression; filtering theory; image coding; image reconstruction; quantisation (signal); signal synthesis; software packages; transform coding; wavelet transforms; analysis filter bank; natural image reproduction; one-stage reproduction; optimal analysis-synthesis pairs; optimal coefficients; optimal subband decoding; optimal synthesis filters; perfect reconstruction filter bank; quantization; quantization noise; regression equations; software packages; subband analysis filters; wavelet zerotree coding algorithm; zerotree quantizers; Cost function; Decoding; Encoding; Equations; Filter bank; Image segmentation; Machinery; Quantization; Software packages; Tree data structures; Wavelet coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.635669
  • Filename
    635669