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SMPTE Meetings and Conferences ( October 1996)
[ACTIVE]

Multibest: Multiple Vector Interpolation for Vector-Quantization Based Image Compression

Metadata

Publisher
SMPTE — White Plains, NY
Doc Type
Conference Paper
Content Type
Original Research
Volume
1996, No. 14A, pp. 231–241
Abstract
The paper reconsiders the applicability of Vector Quantization (VQ) to image compression for low bit-rate image transmission. The proposed method overcomes the basic, structural drawbacks of VQ by a general multiple-interpolation mechanism. The major advantages of the described schema are an improved generalization performance and a notable reduction in coarseness. The overall approach can then be integrated with classical adaptive methods to derive a flexible and effective compression schema without affecting compression performances. Massive experimental results on real and artificial images demonstrate the model's notable advantages over classical VQ systems and DCT-based standards.
Publication Date
1996-10-01
DOI
10.5594/M001257
Link
https://doi.org/10.5594/M001257
Author(s)
F. AnconaDIBE - Dept. of Biophysical and Electronic Eng. - University of Genova - Italy Via all'Opera Pia 11a - 16145 Genova - Italy
F. PassaggioDIBE - Dept. of Biophysical and Electronic Eng. - University of Genova - Italy Via all'Opera Pia 11a - 16145 Genova - Italy
S. RovettaDIBE - Dept. of Biophysical and Electronic Eng. - University of Genova - Italy Via all'Opera Pia 11a - 16145 Genova - Italy
R. ZuninoDIBE - Dept. of Biophysical and Electronic Eng. - University of Genova - Italy Via all'Opera Pia 11a - 16145 Genova - Italy
Copyright
© 1996 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

  • [1] Gray R.M. , “Vector Quantization” , IEEE ASSP Mag. , 1984 , vol.1 , No. 2 , pp. 4 – 29 . EXTERNAL
  • [10] Rao K.R. Yip P. , Discrete Cosine Transform: Algorithms, Advantages, Applications , San Diego , Academic Press , 1990 . EXTERNAL
  • [2] Ramamurthi B. Gersho A. , “Classified Vector Quantization of Images” , IEEE Trans. Commun. , Vol. COM-34 , pp. 1105 – 1115 , Nov. 1986 . EXTERNAL
  • [3] Vaisey J. Gersho A. , “Variable Rate Image Coding Using Quadtrees and Vector Quantization” , Proc. EUSIPCO88 , pp. 1133 – 1136 , Sept. 1988 . EXTERNAL
  • [4] Vaisey J. Gersho A. , “Image Compression with Variable Block Size Segmentation” , IEEE Trans. Signal Processing , Vol. 40 , N. 8 , pp. 2040 – 2060 , Aug. 1992 . EXTERNAL
  • [5] Linde Y. Buzo A. Gray R.M. , “An Algorithm for vector quantizater design” , IEEE Trans. Commun. , Vol. COM-28 , pp. 84 – 95 , Jan. 1980 . EXTERNAL
  • [6] Kohonen T. , Self-organization and Associative Memory , 3rd Ed. , 1989 , Springer . EXTERNAL
  • [7] Martinetz T. Berkovich S.G. Schulten K. , ““Neural Gas” network for vector quantization and its application to time-series prediction” . IEEE Trans. on Neur. Net. , 1993 , vol.4 , No. 4 , pp. 558 – 569 . EXTERNAL
  • [8] Gersho A. Ramamurthi B. , “Image Coding Using Vector Quantization” , in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing , pp. 428 – 431 , May 1982 . EXTERNAL
  • [9] JPEG , Digital compression and coding of continuous-tone still images , Techn. Rep. Committee Draft ISO/IEC 10918, JTC1, ISO - Int. Std. Org., December 1991 . EXTERNAL
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F. Ancona, F. Passaggio, S. Rovetta, and R. Zunino; Multibest: Multiple Vector Interpolation for Vector-Quantization Based Image Compression, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996. Available at https://doi.org/10.5594/M001257
Snippet:
F. Ancona, F. Passaggio, S. Rovetta, and R. Zunino; Multibest: Multiple Vector Interpolation for Vector-Quantization Based Image Compression, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996. Available at https://doi.org/10.5594/M001257

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F. Ancona, F. Passaggio, S. Rovetta, and R. Zunino; Multibest: Multiple Vector Interpolation for Vector-Quantization Based Image Compression, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996. Available at https://doi.org/10.5594/M001257
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<span class="citation">F. Ancona, F. Passaggio, S. Rovetta, and R. Zunino; <cite>Multibest: Multiple Vector Interpolation for Vector-Quantization Based Image Compression</cite>, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996. Available at <a href="https://doi.org/10.5594/M001257" target="_blank" rel="noopener">https://doi.org/10.5594/M001257</a></span>

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F. Ancona, F. Passaggio, S. Rovetta, and R. Zunino; Multibest: Multiple Vector Interpolation for Vector-Quantization Based Image Compression, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996
doi: 10.5594/M001257
url: https://doi.org/10.5594/M001257
Snippet:
<li>
F. Ancona, F. Passaggio, S. Rovetta, and R. Zunino; <cite id="bib-10-5594-m001257">Multibest: Multiple Vector Interpolation for Vector-Quantization Based Image Compression</cite>, SMPTE Meetings and Conferences ( October 1996); SMPTE, 1996
<span class="doi">10.5594/M001257</span>
</li>