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X樹(shù)非平衡保護(hù)多描述編碼

陳婧,  蔡燦輝,  丁潤(rùn)濤

陳婧, 蔡燦輝, 丁潤(rùn)濤. X樹(shù)非平衡保護(hù)多描述編碼[J]. 電子與信息學(xué)報(bào), 2005, 27(12): 1973-1977.
引用本文: 陳婧, 蔡燦輝, 丁潤(rùn)濤. X樹(shù)非平衡保護(hù)多描述編碼[J]. 電子與信息學(xué)報(bào), 2005, 27(12): 1973-1977.
Chen Jing, Cai Can-hui, Ding Run-tao. X-Tree Unequal Protected Multiple Description Coding[J]. Journal of Electronics & Information Technology, 2005, 27(12): 1973-1977.
Citation: Chen Jing, Cai Can-hui, Ding Run-tao. X-Tree Unequal Protected Multiple Description Coding[J]. Journal of Electronics & Information Technology, 2005, 27(12): 1973-1977.

X樹(shù)非平衡保護(hù)多描述編碼

X-Tree Unequal Protected Multiple Description Coding

  • 摘要: 本文提出了一種新的多描述圖像編碼方案X樹(shù)非平衡保護(hù)多描述子帶編碼。首先把小波變換圖像分解為結(jié)構(gòu)信息和殘余非零系數(shù)。其中結(jié)構(gòu)信息包括非零系數(shù)的位置、符號(hào)和位數(shù)，是小波變換圖像的關(guān)鍵信息，必須復(fù)制到每個(gè)描述。殘余非零系數(shù)則通過(guò)多描述標(biāo)量量化器生成兩個(gè)索引分別放入不同的描述。兩個(gè)描述通過(guò)不同的信道進(jìn)行傳輸。由于每個(gè)描述都包含了圖像的重要信息，因此，接收到一個(gè)信道的信息就可以重建出一定質(zhì)量的圖像。如果所有的信道傳輸?shù)男畔⒍急唤邮?，就?huì)得到比任何一個(gè)單獨(dú)信道更好的重建圖像。實(shí)驗(yàn)結(jié)果驗(yàn)證了本算法的有效性和正確性。
    Abstract: A new Multiple Description Coding (MDC) scheme, X-tree based unequal protected MDC subband coding is proposed in this paper. The information of the wavelet transformed image is decomposed into two parts, the structure information and residues of significant coefficients. The structure information, including positions, signs and bit lengths of significant coefficients, is crucial and should be duplicated into both descriptions. The residues are mapped into couples of indices by a multiple description scalar quantizers, and sent to separate descriptions. Two descriptions are dispatched from different channels. Because every description includes all critical information of the picture, the reconstructed image from any single channel can have acceptable fidelity. The reconstructed image is of much better quality if both channels are available. Simulation results have verified the performance of the proposed algorithm.
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  • Wang Yao, Ostermann J, Zhang Ya-Qin. Video Processing and Communications. Beijing: Tsinghua University Press, 2003, 494-498.[2]Vaishampayan V A. Design of multiple description scalar quantizers[J].IEEE Trans. on Information Theory.1993, 39(3):821-834[3]Battlo J C, Vaishampayan V. Asymptotic performance of multiple description transform codes[J].IEEE Trans. on Information Theory.1997, 43(2):703-707[4]Wang Y, Orchard M T, Reibman A R. Multiple description image coding for noisy channels by pairing transform coefficients. Proc. of the First IEEE Workshop on Multimedia Signal Processing, Princeton NJ, June 1997: 419-424.[5]Jiang W, Ortega A. Multiple description coding via polyphase transform and selective quantization. Proc. of VCIP, San Jose, CA, USA, January 1999: 998-1008.[6]Miguel A C, Mohr A E, Riskin E A. SPIHT for generalized multiple description coding. Proc. of the International Conference on Image Processing (ICIP), Kobe, Japan, Oct. 1999, 842-846.[7]Servetto S D. Multiple description wavelet based image coding[J].IEEE Trans. on Image Processing.2000, 9(5):813-826[8]Cai Canhui, Chen Jing, Ding Runtao. Significant coefficient decomposition based stack x-tree multiple description coding. Proc. of ICNNSP2003, Nanjing, China, December 14-17, 2003: 1181-1184.[9]Cai C, Chen J. Structure unanimity based multiple description subband coding. Proc. of ICASSP2004, May 17-21, 2004, Montreal, Canada, IEEE Press, 2004: III-261-264.[10]蔡燦輝，丁潤(rùn)濤. X樹(shù)圖像編碼[J].電子與信息學(xué)報(bào).2003, 25(2):164-170瀏覽[11]Shapiro J M. Embedded image coding using zerotrees of wavelet coefficients[J].IEEE Trans. on Signal Processing.1993, 41(12):3445-3463[12]Witten I H, Neal R M, Cleary J G. Arithmetic coding for data compression[J].Commun. ACM.1987, 30(6):520-540[13]Antonini M, Barlaud M, Mathieu P, Daubechies I. Image coding using wavelet transform[J].IEEE Trans. on Image Processing.1992, 1(4):205-221
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  • 收稿日期:  2004-07-22
  • 修回日期:  2004-12-30
  • 刊出日期:  2005-12-19

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