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$L_2$-Norm Pyramid--Based Search Algorithm for Fast VQ Encoding  

Song, Byeong-Cheol (Dept. of Electronic Computer Science, Korea Advanced Institute of Science and Technology)
Ra, Jong-Beom (Dept. of Electronic Computer Science, Korea Advanced Institute of Science and Technology)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.39, no.1, 2002 , pp. 32-39 More about this Journal
Abstract
Vector quantization for image compression needs expensive encoding time to find the closest codeword to the input vector. This paper proposes a search algorithm for fast vector quantization encoding. Firstly, we derive a robust condition based on the efficient topological structure of the codebook to dramatically eliminate unnecessary matching operations from the search procedure. Then, we Propose a fast search algorithm using the elimination condition. Simulation results show that with little preprocessing and memory cost, the encoding time of the proposed algorithm is reduced significantly while the encoding quality remains the same with respect to the full search algorithm. It is also found that the Proposed algorithm outperforms the existing search algorithms.
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1 T. -S. Chen and C. -C. Chang, 'Diagonal axes method (DAM): a fast search algorithm for vector quantization,' IEEE Trans. Circuits Syst. Video Technol., Vol. 7, No. 3, pp. 555-559, June 1997   DOI   ScienceOn
2 C. -H. Hsieh and Y. -J. Liu, 'Fast search algorithms for vector quantization of images using multiple triangle inequalities and wavelet transform,' IEEE Trans. Image Processing, Vol. 9, No. 3, pp. 321-328, March 2000   DOI   ScienceOn
3 K.-S. Wu and J. -C. Lin, 'Fast VQ encoding by an efficient kick-out condition,' IEEE Trans. Circuits Syst. Video Technol., Vol. 10, No. 1, pp. 59-62, Feb. 2000   DOI   ScienceOn
4 H.Q. Cao and W. Li, 'A fast search algorithm for vector quantization using a directed graph,' IEEE Trans Cricuits Syst. Video Technol., Vol. 10, No. 4, pp. 585-593, June 2000   DOI   ScienceOn
5 A. Gersho and R. M. Gray, Vector Quantization and Signal Compression, Norwell, MA: Kluwer Academic Press, 1992
6 M. H. Johnson, R. E. Ladner, and E.A. Riskin, 'Fast nearest neighbor search of entropy-constrained vector quantization,' IEEE Trans. Image Processing, Vol. 9, No. 8, pp. 1435-1437, August 2000.   DOI   ScienceOn
7 Y. Linde, A. Buzo, and R. M. Gray, 'An algorithm for vector quantizer design,' IEEE Trans. Commun., Vol. Vom-28, No. 1, pp. 84-95, Jan. 1980   DOI
8 P.J. Burt and E. Adelson, 'The Laplacian pyramid as a compact image code,' IEEE Trans. Commun. Vol. COM-31, No. 4, pp. 532-540, April 1983   DOI
9 R. M. Gray, 'Vector qunatization,' IEEE Acoust., Speech, Signal Process. Mag., pp.4-29, April 1984
10 W. H. Equitz, 'A new vector quantization clustering algorithm,' IEEE Trans. Acoust., Speech, Signal Processing, Vol. 37, No. 10. pp. 1568-1575, Oct. 1989   DOI   ScienceOn
11 C.-M. Huang, Q. Bi, G. S. Stiles and R. W. Harris, 'Fast full search equivalent encoding algorithms for image compression using vector quantiaztion,' IEEE Trans. Image Processing, Vol. 1, No. 3, pp. 413-416, July 1992   DOI
12 S.W. Ra and J. K. Kim, 'A fast mean-distance-oriented partial codebook search algorithm for image vector quantization,' IEEE Trans Circuits Syst. Ⅱ: Analog and Digital Signal Processing, Vol. 40, No. 9, pp. 576-579, Sept. 1993   DOI   ScienceOn
13 C.D. Bei and R.M. Gray, 'An improvement of the minimum distortion encoding algorithm for vector quantization,' IEEE Trans. Commun, Vol. COM-33, No. 10, pp. 1132-1133, Oct. 1985   DOI
14 M.T. Orchard, 'A fast nearest neighbor search algorithm,' in Proc. IEEE ICASSP, pp. 2297-2300, 1991.   DOI
15 W. Li and E.Salari, 'A fast vector quantization encoding method for image compression,' IEEE Trans. Circuits Syst. Video Technol., Vol. 5, No. 2, pp. 119-123, April 1995   DOI   ScienceOn