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分布式视频编码中相关噪声分布的非参数估计

Non-parametric estimation for correlation noise distribution in distributed video coding
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摘要 目的针对分布式视频编码系统中相关噪声(CN)分布难以准确模拟的问题,提出了一种CN的非参数估计方法。方法根据CN分布的特点,提出CN的非参数估计方法,建立了基于最优窗宽的核密度估计-均匀分布模型(KDEUDM),比较了变换域Wyner-Ziv(TDWZ)系统中CN的参数估计法和非参数估计法所建立的噪声模型对系统性能的影响。结果实验结果表明,非参数估计方法能较准确地模拟CN的分布,与参数估计法相比,用非参数估计法建立的噪声模型能使WZ帧编码在高码率下最高能节约10%的码率。结论非参数估计法是TDWZ系统中有效的相关噪声估计方法。 Objective Since it is difficult to estimate the correlation noise distribution, a non-parametric estimation method for correlation noise is proposed. Method Non-parametric estimation method for correlation noise is proposed a according to the feature of correlation noise, a kernel density estimation-uniform distribution model based on optimal bandwidth is proposed. The impact of the noise model using parameter estimation method and non-parametric estimation method on the system performance in the transform domain Wyner-Ziv system is compared. Result The experiments results show that non-parametric estimation method can simulate correlation noise distribution and the established noise model using non-parametric estimation method can save rate about 10% at most at high bit rate for WZ frame. Conclusion Non-parametric estimation method is an effective noise estimation method for TDWZ system.
出处 《中国图象图形学报》 CSCD 北大核心 2014年第6期843-851,共9页 Journal of Image and Graphics
基金 国家自然科学基金项目(61071091 61271082) 南京邮电大学科研基金项目(NY212101)
关键词 分布式视频编码 变换域Wyner-Ziv 相关噪声分布 核密度估计 噪声模型 distributed video coding transform domain Wyner-Ziv correlation noise distribution kernel density estimation noise model
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  • 1Girod B, Aaron A M, Rane S, et al. Distributed video coding[J]. Proceedings of the IEEE, 2005, 93(1): 71-83. 被引量:1
  • 2Chiu C C, Chien S Y, Lee C H, et al. Distributed video coding: a promising solution for distributed wireless video sensors or not?[C]//Visual Communications and Image Processing. Piscataway, NJ: IEEE, 2011: 1-4. 被引量:1
  • 3Kang L W, Lu C H. Distributed compressive video sensing[C]//Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing. Piscataway, NJ: IEEE, 2009: 1169-1172. 被引量:1
  • 4Baig Y, Lai E M K, Punchihewa A. Distributed video coding based on compressed sensing[C]//Proceedings of IEEE International Conference on Multimedia and Expo Workshops. Piscataway, NJ: IEEE, 2012: 325-330. 被引量:1
  • 5Aaron A, Rui Z,Girod B. Wyner-Ziv coding of motion video[C]//Proceedings of the 36th Asilomar Conference on Signals, Systems and Computers. Pacific Grove, CA, USA: IEEE, 2002,1: 240-244. 被引量:1
  • 6Luong H V, Huang X, Forchhammer S. Adaptive noise model for transform domain Wyner-Ziv video using clustering of DCT blocks[C]//Proceedings of the 13th IEEE International Workshop on Multimedia Signal Processing. Piscataway, NJ: IEEE, 2011: 1-6. 被引量:1
  • 7Brites C, Pereira F. Correlation noise modeling for efficient pixel and transform domain Wyner-Ziv video coding[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2008, 18(9): 1177-1190. 被引量:1
  • 8Thomas M, Jerome G, Beatrice P P, et al. Using an exponential power model forwyner ziv video coding[C]//Proceedings of IEEE International Conference on Acoustics Speech and Signal Processing. Piscataway, NJ: IEEE, 2010: 2338-2341. 被引量:1
  • 9尹明,蔡述庭,谢云.基于高斯混合模型的Wyner-Ziv视频编码[J].计算机学报,2012,35(1):173-182. 被引量:10
  • 10Hu Xiaofei,Zhu Xiuchang.A WYNER-ZIV VIDEO CODING METHOD UTILIZING MIXTURE CORRELATION NOISE MODEL[J].Journal of Electronics(China),2012,29(3):197-203. 被引量:1

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