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一種不需要計(jì)算量化失真的快速碼書訓(xùn)練算法

龐朝陽,  孫世新

龐朝陽, 孫世新. 一種不需要計(jì)算量化失真的快速碼書訓(xùn)練算法[J]. 電子與信息學(xué)報(bào), 2002, 24(10): 1316-1320.
引用本文: 龐朝陽, 孫世新. 一種不需要計(jì)算量化失真的快速碼書訓(xùn)練算法[J]. 電子與信息學(xué)報(bào), 2002, 24(10): 1316-1320.
Pang Chaoyang, Sun Shixin. A fast codebook training algorithm without the computation of distortion[J]. Journal of Electronics & Information Technology, 2002, 24(10): 1316-1320.
Citation: Pang Chaoyang, Sun Shixin. A fast codebook training algorithm without the computation of distortion[J]. Journal of Electronics & Information Technology, 2002, 24(10): 1316-1320.

一種不需要計(jì)算量化失真的快速碼書訓(xùn)練算法

A fast codebook training algorithm without the computation of distortion

  • 摘要: 該文利用LBG算法迭代過程中質(zhì)心序列收斂特性,提出了一種快速算法。它的基本思想是,直接去掉LBG算法中量化失真計(jì)算,用質(zhì)心序列收斂作停止條件。我們用典型的測試圖像Lena做實(shí)驗(yàn),實(shí)驗(yàn)結(jié)果表明,該算法與著名的LBG算法的PSNR相差小于0.1dB,但它的運(yùn)行時(shí)間至少比LBG的運(yùn)行時(shí)間少一半。
    Abstract: A fast codebook training algorithm without the computation of distortion by the property of centroid sequence convergence is presented in this paper. The performance of the new algorithm is tested by typical test image Lena. The result shows that the PSNR difference between the new algorithm and LBG is O.ldB, but the running time of it is at most one half of LBG.
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  • 高文,多媒體數(shù)據(jù)壓縮技術(shù),北京,電子工業(yè)出版社,1994年4月,第一版.[2]Y. Linde, A. Buzo, R. M. Gray, An algorithm for vector quantization design, IEEE Trans. on Comm., 1980, COM-28(1), 84-95.[3]Timo Kaukoranta, P. Franti, O. Nevalainnem, Vector quantization by lazy pairwise nearest neighbor method, Opt. Eng., 1999, 38(11), 1862-1868.[4]J. Shanbehzadeh, P. O. Ogunbona, On the computational complexity of the LBG and PNN algorithms, IEEE Trans. on Image Processing, 1997, 6(4), 614-616.[5]T. Kaukoranta, P. Franti, O. Nevalainnem, Iterative split-and-merging algorithm for vector quantization codebook generation, Opt. Eng., 1998, 37(10), 2726 2732.[6]B. Fritzke, The LBG-U Method for Vector Quantization-An Improvement over LBG Inspired from Neural Networks, Kluwer Academic Publisher, 1997. ［7］C. -M. Huang, R. W. Harris, A comparison of several vector quantization codebook generation approaches, IEEE Trans. on Image Processing, 1993, 2(1), 108-112.[7]張基宏,何振亞,一種指數(shù)型模糊學(xué)習(xí)矢量量化圖像編碼算法,通信學(xué)報(bào),1998,19(10),1-6.[8]Chin-Chen Chang, Yu-Chen Hu, A fast LBG codebook training algorithm for vector quantization,IEEE Trans. on Consumer Electronics, 1998, CE-44(4), 1201-1208.
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  • 文章訪問數(shù):  2002
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  • 被引次數(shù): 0
出版歷程
  • 收稿日期:  2000-10-30
  • 修回日期:  2001-03-12
  • 刊出日期:  2002-10-19

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