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X树非平衡保护多描述编码 被引量:5

X-Tree Unequal Protected Multiple Description Coding
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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。 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.
出处 《电子与信息学报》 EI CSCD 北大核心 2005年第12期1973-1977,共5页 Journal of Electronics & Information Technology
基金 国家自然科学基金(60472106)福建省自然科学基金(A0410018)资助课题
关键词 多描述编码 子带编码 错误恢复 x树编码 非平衡保护 Multiple description coding, Subband coding, Error resilience, X-tree coding, Unequal protection
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参考文献13

  • 1Wang Yao, Ostermann J, Zhang Ya-Qin. Video Procfssing and Communications. Beijing: Tsinghua University Press, 2003,494 - 498. 被引量:1
  • 2Vaishampayan V A. Design of multiple description scalar quantizers. IEEE Trans. on Information Theory, 1993, 39(3):821 - 834. 被引量:1
  • 3Battlo J C, Vaishampayan V. Asymptotic performance of multiple description transform codes. IEEE Trans. on Information Theory,1997, 43(9): 703 - 707. 被引量:1
  • 4Wang 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 N J, June 1997:419 - 424. 被引量:1
  • 5Jiang W, Ortega A. Multiple description coding via polyphase transform and selective quantization. Proc. of VCIP, San Jose, CA,USA, January 1999:998 - 1008. 被引量:1
  • 6Miguel A C, Mohr A E, Riskin E A. SPIHT for generalized multiple description coding. Proc. of the International Conferenceon Image Processing (ICIP), Kobe, Japan, Oct. 1999, 842 - 846. 被引量:1
  • 7Servetto S D. Multiple description wavelet based image coding.IEEE Trans. on Image Processing, 2000, 9(5): 813 - 26. 被引量:1
  • 8Cai 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. 被引量:1
  • 9Cai 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. 被引量:1
  • 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. 被引量:4

二级参考文献9

  • 1[1]M. Tsai, J. Villasenor, F. Chen, Stack-run image coding, IEEE Trans. On Circuits Syst., Video Technol., 1996, 6(5), 519-521. 被引量:1
  • 2[2]J.M. Shapiro, Embedded image coding using zerotrees of wavelet coefficients, IEEE Trans. On Signal Processing, 1993, 41(12), 3445-3463. 被引量:1
  • 3[3]A. Said, W. A. Pearlman, A new, fast, and efficient image codec based on set partitioning in hierarchical trees, IEEE Trans. On Circuits Syst., Video Technol., 1996, 6(3), 243-250. 被引量:1
  • 4[4]Z. Xiong, K. Ramchandran, M. T. Orchard, Space-frequency quantization for wavelet image coding, IEEE Trans. on Image Processing, 1997, IP-6(5), 677-693. 被引量:1
  • 5[5]S. LoPresto, K. Ramchandran, M T. Orchard, Image coding based on mixture modeling of wavelet coefficients and a fast estimation-quantization framework, DCC'97, Snowbird, UT, 1997, 221--230. 被引量:1
  • 6[6]R.L. Joshi, et al., Comparison of different methods of classification in subband coding of images,IEEE Trans. on Image Processing, 1997, IP-6(11), 1473-1486. 被引量:1
  • 7[7]C. Chrysafis, A. Ortega, Efficient context-based entropy coding for lossy wavelet image compression, DCC'97, Snowbird, UT: 1997, 241-250. 被引量:1
  • 8[8]I.H. Witten, R. M. Neal, J. G. Cleary, Arithmetic coding for data compression, Commun. ACM,1987, 30(6), 520-540. 被引量:1
  • 9[9]M. Antonini, M. Barlaud, P. Mathieu, I. Daubechies, Image coding using wavelet transform,IEEE Trans. on Image Processing, 1992, IP-1(2), 205-221. 被引量:1

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