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SMPTE Meetings and Conferences ( October 1996)
[ACTIVE]

A Wavelet Image Compression Scheme Using PVQ

Metadata

Publisher
SMPTE — White Plains, NY
Doc Type
Conference Paper
Content Type
Original Research
Volume
1996, No. 14A, pp. 242–246
Abstract
This work presents an application of Pyramid Vector Quantization (PVQ), with a global bit allocation on wavelet coefficients. First a two level bit-allocation strategy has been used: the available bit-rate is subdivided on the sub-images, and then for each sub-image an allocation strategy is used to distridute the available bits through the vectors to quantize. Sucessively a one-level bit allocation strategy (global bit-allocation) over all vectors of all sub-images has been considered. Simulations carried out on several test images give good subjective and objective results compared to other wavelet-based coding techniques already proposed in literature.
Publication Date
1996-10-01
DOI
10.5594/M001258
Link
https://doi.org/10.5594/M001258
Author(s)
Rosa LanciniCEFRIEL, Via Emanueli 15, I-20126 Milano (Italy)
Stefano TubaroPolitecnico di Milano, Dip. Elettronica e Informatica, Politecnico di Milano P.za L. Da Vinci 32, I-20133 Milano (Italy)
Marco BarbieriSignal Processing Laboratory, Swiss Federal Institute of Technology, CH-1015 Lausanne (Switzerland)
Copyright
© 1996 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

  • [1] Akansu A. Haddad R. , “Multiresolution signal decompositions,” Academic Press inc. 1992 . EXTERNAL
  • [2] Fisher T. , “A pyramid vector quantizer,” IEEE Transactions on Information Theory vol. IT-32 , July 1986 . EXTERNAL
  • [3] Lancini R. Marconetti E. Tubaro S. , “Image coding with overlapped projection and pyramid vector quantization,” Proc. ICASSP-94 April 19–22, Adelaide, Australia, 1994 . EXTERNAL
  • [4] Lancini R. D'Alessandro P. , “Video coding scheme using DCT-Pyramid Vector Quantization,” IEEE Transactions on Image Processing vol. IP-4 , No. 3 , March 1995 . EXTERNAL
  • [5] Fisher T. Blain M. , “A comparison of vector quantization techniques in transform and subband coding of imagery,” Image Communication vol. 3 , 1991 . EXTERNAL
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Rosa Lancini, Stefano Tubaro, and Marco Barbieri; A Wavelet Image Compression Scheme Using PVQ, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996. Available at https://doi.org/10.5594/M001258
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Rosa Lancini, Stefano Tubaro, and Marco Barbieri; A Wavelet Image Compression Scheme Using PVQ, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996. Available at https://doi.org/10.5594/M001258

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Rosa Lancini, Stefano Tubaro, and Marco Barbieri; A Wavelet Image Compression Scheme Using PVQ, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996. Available at https://doi.org/10.5594/M001258
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<span class="citation">Rosa Lancini, Stefano Tubaro, and Marco Barbieri; <cite>A Wavelet Image Compression Scheme Using PVQ</cite>, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996. Available at <a href="https://doi.org/10.5594/M001258" target="_blank" rel="noopener">https://doi.org/10.5594/M001258</a></span>

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Rosa Lancini, Stefano Tubaro, and Marco Barbieri; A Wavelet Image Compression Scheme Using PVQ, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996
doi: 10.5594/M001258
url: https://doi.org/10.5594/M001258
Snippet:
<li>
Rosa Lancini, Stefano Tubaro, and Marco Barbieri; <cite id="bib-10-5594-m001258">A Wavelet Image Compression Scheme Using PVQ</cite>, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996
<span class="doi">10.5594/M001258</span>
</li>