Abstract
A new scheme for vector quantization (VQ) is proposed in this paper. We employ side-match and classified criteria for designing VQ codebooks to combat blocking effects induced from high compression rates, and then we use the proposed algorithm to improve the reconstructed image quality. Simulation results demonstrate the better image quality to compare with that produced from conventional schemes objectively and subjectively, at the cost of reasonable encoding complexity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Jayant, N.S., Johnston, J.D., Safranek, R.J.: Signal compression based on models of human perception. Proc. IEEE 81(10), 1385–1422 (1993)
Gersho, A., Gray, R.M.: Vector Quantization and Signal Compression. Kluwer Academic Publishers, Boston (1992)
Linde, Y., Buzo, A., Gray, R.M.: An algorithm for vector quantizer design. IEEE Trans. Commun. 28(1), 84–95 (1980)
Quweider, M.K., Salari, E.: Efficient classification and codebook design for CVQ. IEE Proc. Vision, Image and Signal Process. 143(6), 344–352 (1996)
Chang, R.F., Chen, W.T.: Image coding using variable-rate side-match finitestate vector quantization. IEEE Trans. Image Process. 2(1), 104–108 (1993)
Lu, Z.M., Pan, J.S., Sun, S.H.: Image coding based on classified side-match vector quantization. IEICE Trans. Inf. & Syst. E83-D(4), 2189–2192 (2000)
Farvardin, N.: A study of vector quantization for noisy channels. IEEE Trans. Inform. Theory 36(4), 799–809 (1990)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Huang, HC., Yen, K.K., Huang, YH., Pan, JS., Huang, KC. (2005). Improved Image Coding with Classified VQ and Side-Match VQ. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_59
Download citation
DOI: https://doi.org/10.1007/11553939_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28896-1
Online ISBN: 978-3-540-31990-0
eBook Packages: Computer ScienceComputer Science (R0)