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CLC number: TN919.81

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Received: 2002-10-18

Revision Accepted: 2003-01-16

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Journal of Zhejiang University SCIENCE A 2004 Vol.5 No.1 P.55-61


Multiple descriptions based wavelet image coding

Author(s):  CHEN Hai-lin, YANG Yu-hang

Affiliation(s):  Modern Communication Institute, Shanghai Jiaotong University, Shanghai 200030, China

Corresponding email(s):   heavyseatree@163.com

Key Words:  Multiple descriptions, Discrete wavelet transform (DWT), JPEG2000

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CHEN Hai-lin, YANG Yu-hang. Multiple descriptions based wavelet image coding[J]. Journal of Zhejiang University Science A, 2004, 5(1): 55-61.

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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.

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[1] Lawson, S. and Zhu, J., 2002. Image compression using wavelets and JPEG2000: a tutorial. Electron. Commun. Eng. J, 6:112-121.

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[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.

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