X树非平衡保护多描述编码

陈婧; 蔡灿辉; 丁润涛

X树非平衡保护多描述编码

计量
- 文章访问数: 2157
- HTML全文浏览量: 94
- PDF下载量: 643
- 被引次数: 0
出版历程
- 收稿日期: 2004-07-22
- 修回日期: 2004-12-30
- 刊出日期: 2005-12-19

X-Tree Unequal Protected Multiple Description Coding

摘要

摘要: 本文提出了一种新的多描述图像编码方案X树非平衡保护多描述子带编码。首先把小波变换图像分解为结构信息和残余非零系数。其中结构信息包括非零系数的位置、符号和位数，是小波变换图像的关键信息，必须复制到每个描述。残余非零系数则通过多描述标量量化器生成两个索引分别放入不同的描述。两个描述通过不同的信道进行传输。由于每个描述都包含了图像的重要信息，因此，接收到一个信道的信息就可以重建出一定质量的图像。如果所有的信道传输的信息都被接收，就会得到比任何一个单独信道更好的重建图像。实验结果验证了本算法的有效性和正确性。
- 多描述编码;子带编码;错误恢复;X树编码;非平衡保护
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.

HTML全文

参考文献(1)

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]蔡灿辉，丁润涛. X树图像编码[J].电子与信息学报.2003, 25(2):164-170浏览[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

施引文献

资源附件(0)

访问统计