Abstract
Under the consideration of computational complexity and design regularity, in this paper, a FASVQ (filtering and searching vector quantization) is presented to compress images. FASVQ utilizes a heuristic to filter codevectors with small costs and then employs full-search VQ within the surviving codevectors. We have proven that the proposed heuristic can easily be implemented by a table lookup technique and over 95% codevectors can be filtered. Although, the quantized codevector of FASVQ wouldn't be optimal, the experimental results show that the PSNR degradation between full-search VQ and FASVQ is only 0.24 dB on the average.
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References
A. Gersho and R.M. Gray, Vector Quantization and Signal Compression, Kluwer Academic Publishers, 1992.
R.M. Gray, “Vector Quantization,” IEEE ASSP Mag., vol. 1, no. 2, 1984, pp. 4–29.
N.M. Nasrabadi and R.A. King, “Image Coding Using Vector Quantization: A Review,” IEEE Trans. Commun., vol. 36, 1988, pp. 957–971.
Y. Linde, A. Buzo, and R.M. Gray, “An Algorithm for Vector Quantizer Design,” IEEE Trans. Commun., vol. COM-28, 1980, pp. 84–95.
Y.C. Lin and S.C. Tai, “Fast Feature-Based Vector Quantization Algorithm of Image Coding,” Optical Eng., vol. 34, no. 10, 1995, pp. 2918–2926.
C.D. Bei and R.M. Gray, “An Improvement of the Minimum Distortion Encoding Algorithm for Vector Quantization,” IEEE Trans. Commun., vol. COM-33, 1985, pp. 1132–1133.
M.R. Soleymani and S.D. Morgera, “A Fast MMSE Encoding Technique for Vector Quantization,” IEEE Trans. Commun., vol. COM-37, 1989, pp. 656–659.
E. Vidal, “An Algorithm for Finding Nearest Neighbors in (Approximately) Constant Average Time Complexity,” Pattern Recognit. Lett., vol. 4, 1986, pp. 145–157.
L. Torres and J. Huguet, “An Improvement on Codebook Search for Vector Quantization,” IEEE Trans. Commun., vol. 42, 1994, pp. 208–210.
Y.C. Lin and S.C. Tai, “Fast Vector Quantization of Image Coding Using Integral Equations,” in Proc. Nat. Computer Symp., Taiwan, R.O.C., Dec. 1995, pp. 729–736.
K.S.Wu and J.C. Lin, “Fast VQ Encoding by Efficient Kick-Out Condition,” IEEE Trans. Circuits Syst. Video Technol., vol. 10, 2000, pp. 59–62.
R.F. Chang, W.T. Cheng, and J.S.Wang, “Image Sequence Coding Using Adptive Nonuniform Tree-structure Vector Quantization,” J. of Visual Commu. and Image Representation, vol. 2, no. 2, 1991, pp. 166–176.
W.C. Fang, C.Y. Chang, and B.J. Sheu, “SystolicTree-Structured Vector Quantizer for Real-Time Image Compression,” VLSI Signal Processing 4, IEEE Press 1990.
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Huang, SY. Filtering and Searching Vector Quantization. The Journal of VLSI Signal Processing-Systems for Signal, Image, and Video Technology 35, 213–221 (2003). https://doi.org/10.1023/A:1023664902408
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DOI: https://doi.org/10.1023/A:1023664902408