Journal of Networks, Vol 7, No 7 (2012), 1046-1053, Jul 2012
doi:10.4304/jnw.7.7.1046-1053

A Novel Error Resilient Scheme for Wavelet-based Image Coding Over Packet Networks

WenZhu Sun, HongYu Wang, DaXing Qian

Abstract


this paper presents a robust transmission strategy for wavelet based scalable bit stream over packet erasure channel. By taking the advantage of the bit plane coding and the multiple description coding, the proposed strategy adopts layered multiple description coding (LMDC) for the embedded wavelet coders to improve the error resistant capability of the important bit planes in the meaning of D(R) function. Then, the post-compression rate-distortion (PCRD) optimization process is used to improve the overall performance. At decoding, a simple error concealment technique is used to compensate the data loss. The proposed method is applied on Set Partitioning in Hierarchical Trees (SPIHT) coded image and the experimental results show graceful degradation for variable packet erasure rate.


Keywords


bitplane coding; error resilient; mdc; spiht; pcrd optimization

References


 

[1] Said. A. and W. A. Pearlman. A new, fast, and efficient image codec based on set partitioning in hierarchical trees. IEEE Transactions on Circuits and Systems for Video Technology, 1996. 6(3): p. 243-250.
http://dx.doi.org/10.1109/76.499834

[2] Rogers. J.K. and P.C. Cosman. Wavelet zerotree image compression with packetization. Signal Processing Letters, IEEE, 1998. 5(5): p. 105-107.

[3] Wu, X.L., S. Cheng, and Z.X. Xiong. On packetization of embedded multimedia bitstreams. IEEE Transactions on Multimedia, 2001. 3(1): p. 132-140.
http://dx.doi.org/10.1109/6046.909600

[4] Sherwood, P.G. and K. Zeger. Progressive image coding for noisy channels. IEEE Signal Processing Letters, 1997. 4(7): p. 189-191.
http://dx.doi.org/10.1109/97.596882

[5] Mohr. A.E., E.A. Riskin and R.E. Ladner. Unequal loss protection: Graceful degradation of image quality over packet erasure channels through forward error correction. IEEE Journal on Selected Areas in Communications, 2000. 18(6): p. 819-828.
http://dx.doi.org/10.1109/49.848236

[6] Dumitrescu. S., G. Rivers and S. Shirani. Unequal Erasure Protection Technique for Scalable Multistreams. IEEE Transactions on Image Processing, 2010. 19(2): p. 422-434.
PMid:19783503

[7] Hamzaoui. R., V. Stankovic and X. Zixiang. Optimized error protection of scalable image bit streams [advances in joint source-channel coding for images]. Signal Processing Magazine, IEEE, 2005. 22(6): p. 91-107.

[8] Shih. Hsuan. Y. and C. Po. Feng. Robust Transmission of SPIHT-Coded Images Over Packet Networks. IEEE Transactions on Circuits and Systems for Video Technology, 2007. 17(5): p. 558-567.
http://dx.doi.org/10.1109/TCSVT.2007.895343

[9] Lin. Lin. T and L. Zhe. Ming. An Efficient MDC Framework Based on DCT and SPIHT. Information Technology Journal, 2009: p. 1071-5.

[10] Yu. F.X., L.L. Tang and Z.M. Lu. Spiht and Odd-Even Estimation based MDC Algorithm. International Journal of Innovative Computing Information and Control, 2010. 6(3A): p. 1079-1088.

[11] T. Kim, S. Choi, R. E. Van Dyck, and N. K. Bose. Classified zerotree wavelet image coding and adaptive packetization for low-bit-rate transport. IEEE Transactions on Circuits and Systems for Video Technology, vol. 11, no. 9, pp.1022–1034, Sep. 2001.
http://dx.doi.org/10.1109/76.946519

[12] Sriraja, Y. and T. Karp. A packetized SPIHT algorithm with overcomplete wavelet coefficients for increased robustness. Eurasip Journal on Applied Signal Processing, 2006.
http://dx.doi.org/10.1155/ASP/2006/19156

[13] A. C. Miguel, A. E. Mohr, and E. A. Riskin. SPIHT for generalized multiple description coding. in Proc. IEEE Int. Conf. Image Process.,Kobe, Japan, Oct. 1999, vol. 3, pp. 842–846.

[14] Jianming, W. and E. Salari. Fast and robust fixed-length packetization algorithm for set partitioning in hierarchical trees bit stream over packet erasure channels. Journal of Electronic Imaging, 2007. 16(1): p. 13007-1-11.

[15] Song. D., L. Cao, and C.W. Chen. Robust multiple description image coding over wireless networks based on wavelet tree coding, error resilient entropy coding, and error concealment. Journal of Visual Communication and Image Representation, 2008. 19(5): p. 311-319.
http://dx.doi.org/10.1016/j.jvcir.2008.03.003

[16] J. Li and S. Lei. An embedded still image coder with rate-distortion optimization. IEEE Transaction on Image Processing, vol. 8, no. 7, pp. 913–924,Jul. 1999.
http://dx.doi.org/10.1109/83.772232
PMid:18267504

[17] Auli. Llinas, F and M.W. Marcellin. Distortion Estimators for Bitplane Image Coding. IEEE Transactions on Image Processing, 2009. 18(8): p. 1772-1781.
http://dx.doi.org/10.1109/TIP.2009.2022209
PMid:19423442

[18] Taubman, D. High performance scalable image compression with EBCOT. IEEE Transactions on Image Processing, 2000. 9(7): p. 1158-1170.
http://dx.doi.org/10.1109/83.847830
PMid:18262955

[19] Amonou. I, et al. Optimized rate-distortion extraction with quality layers in the scalable extension of H.264/AVC. IEEE Transactions on Circuits and Systems for Video Technology, 2007. 17(9): p. 1186-1193.

[20] X. Li and M. T. Orchard. Novel sequential error-concealment techniques using orientation adaptive interpolation. IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 10, pp. 857–864, Oct. 2002.
http://dx.doi.org/10.1109/TCSVT.2002.804882

[21] F. Labeau. C, Desset. L. Vandendorpe and B. Macq. Performance of linear tools and models for error detection and concealment in subband image transmission. IEEE Transaction on Image Processing, vol. 11, no. 5, pp.518–529, May 2002.
http://dx.doi.org/10.1109/TIP.2002.1006399
PMid:18244652


Full Text: PDF


Journal of Networks (JNW, ISSN 1796-2056)

Copyright @ 2006-2013 by ACADEMY PUBLISHER – All rights reserved.