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Journal of Zhejiang University SCIENCE A
ISSN 1673-565X(Print), 1862-1775(Online), Monthly
2004 Vol.5 No.1 P.55-61
Multiple descriptions based wavelet image coding
Abstract: We present a simple and efficient scheme that combines multiple descriptions coding with wavelet transform under JPEG2000 image coding architecture. To reduce packet losses, controlled amounts of redundancy are added to the wavelet transform coefficients to produce multiple descriptions of wavelet coefficients during the compression process to produce multiple descriptions bit-stream of a compressed image. Even if a receiver gets only parts of descriptions (other descriptions being lost), it can still reconstruct image with acceptable quality. Specifically, the scheme uses not only high-performance wavelet transform to improve compression efficiency, but also multiple descriptions technique to enhance the robustness of the compressed image that is transmitted through unreliable network channels.
Key words: Multiple descriptions, Discrete wavelet transform (DWT), JPEG2000
References:
[1] Lawson, S. and Zhu, J., 2002. Image compression using wavelets and JPEG2000: a tutorial. Electron. Commun. Eng. J, 6:112-121.
[2] Mallat, S., 1989. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Patt. Anal. Mach.. Intel, 11(7):674-693.
[3] Servetto, S. D., Ramchandran, K., Vaishampayan, V. and Nahrstedt, K., 1998. Multiple-Description Wavelet Based Image Coding. In: Proc. Int. Conf. Image Processing '98, Chicago, IL.
[4] Vaishampayan, V. A., 1996. Application of Multiple Description Codes to Image and Video Transmission over Lossy Networks. In: Proc. 7th Int. Workshop Packet Video, Brisbane, Australia.
[5] Wang, Y., Orchard, M. T. and Reibman, A., 1997. Multiple Description Image Coding for Noisy Channels by Pairing Transform Coefficients. In: Proc. 1st Workshop IEEE Signal Processing Soc. Multimedia Signal Processing, Princeton, NJ.
[6] Wang, Y., Orchard, M. T., Vaishampayan, V. and Reibman A.R., 2000. Multiple description coding using pairwise correlating transforms. IEEE Trans. Image Processing, 9:813-825.
Open peer comments: Debate/Discuss/Question/Opinion
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DOI:
10.1631/jzus.2004.0055
CLC number:
TN919.81
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Received:
2002-10-18
Revision Accepted:
2003-01-16
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