Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30054
Optimal and Generalized Multiple Descriptions Image Coding Transform in the Wavelet Domain

Authors: Bahi brahim, El hassane Ibn Elhaj, Driss Aboutajdine

Abstract:

In this paper we propose a Multiple Description Image Coding(MDIC) scheme to generate two compressed and balanced rates descriptions in the wavelet domain (Daubechies biorthogonal (9, 7) wavelet) using pairwise correlating transform optimal and application method for Generalized Multiple Description Coding (GMDC) to image coding in the wavelet domain. The GMDC produces statistically correlated streams such that lost streams can be estimated from the received data. Our performance test shown that the proposed method gives more improvement and good quality of the reconstructed image when the wavelet coefficients are normalized by Gaussian Scale Mixture (GSM) model then the Gaussian one ,.

Keywords: Multiple description coding (MDC), gaussian scale mixture (GSM) model, joint source-channel coding, pairwise correlating transform, GMDCT.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1071374

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF

References:


[1] Goyal, V. Multiple description coding: Compression meets the network. IEEE Signal Processing Magazine, 18(5), September 2001.
[2] Bahi, Brahim, ElHaj, E. I., and Aboutajdine, D. Optimal multiple description image coding transform in the wavelet domain. IEEE International Confrence on Signal Processing and Communications (ICSPC), 2007.
[3] Goyal, Vivek K., Kovacevic, J., Arean, R., and Vetterli, M. Multiple descriptions transform coding of images. Proc. IEEE Intl. Conf. on Image Processing, ICIP, pages 674678, Oct 1998.
[4] Kovacevic, J. and Goyal, V. Optimal multiple description transform coding of gaussian vectors. Proc.IEEE Data Compression Conf., pages 388 397, Mars 1998.
[5] Orchard, M., Y., W., V., V., and A., R. Redundancy rate-distortion analysis of multiple description coding using pairwise correlating transforms. IEEE international conference on image proceedings, pages 60811, 1997.
[6] Pereira, M., Antonini, M., and Barlaud, M. Multiple description image and video coding for wireless channels. Session special EURASIP: Image Commun Special Issue Recent AdvWireless Video, 10(18):925945, 2003.
[7] S. S. Channappayya, R. W. H. J. and Bovik, A. C. Multiple description image coding using natural scene statistics. in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),Philadelphia, PA, USA., 2005.
[8] Servetto, S. Multiple description wavelet based image coding. IEEE Trans Image Process, (9):813826, 2000.
[9] Sumohana, S. C., Lee, J., Jr., R. W. H., and Bovik, A. C. Frame based multiple description image coding in the wavelet domain. in Proc. of IEEE International Conference on Image Processing (ICIP),Genova, Italy, 2005.
[10] V., K. G. and Jelena, K. Generalized multiple description coding with correlating transforms. IEEE Transactions on Information Theory, 47(6):21992224, Sept 2001.
[11] Vaishampayan, V. A. Design of multiple description scalar quantizers. IEEE Transactions on Information Theory, 39:821834, May 1993.
[12] Wang, Y., M., O., and A., R. Optimal pairwise correlating transforms for multiple description coding. IEEE international conference on image processing ICIP98, Chicago, IL, USA, 1998.
[13] Wang, Y., Orchard, M., and Arean, R. Multiple description image coding for noisy channels by pairing transform coefficients. IEEE first workshop MMSP97, Princeton, NJ, USA, pages 419 24, 1997.
[14] Wang, Y., Orchard, M., Vaishampayan, V., and Reibman, A. Multiple description coding using pairwise correlating transforms. IEEE Transactions on Image Processing, 10(3):351366, Mars 2001.