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17/11双正交小波的优化设计及其对图像压缩性能的分析

刘在德 郑南宁 刘跃虎 杨国安 田丽华

刘在德, 郑南宁, 刘跃虎, 杨国安, 田丽华. 17/11双正交小波的优化设计及其对图像压缩性能的分析[J]. 电子与信息学报, 2007, 29(6): 1403-1407. doi: 10.3724/SP.J.1146.2005.01358
引用本文: 刘在德, 郑南宁, 刘跃虎, 杨国安, 田丽华. 17/11双正交小波的优化设计及其对图像压缩性能的分析[J]. 电子与信息学报, 2007, 29(6): 1403-1407. doi: 10.3724/SP.J.1146.2005.01358
Liu Zai-de, Zheng Nan-ning, Liu Yue-hu, Yang Guo-an, Tian Li-hua. Optimization Design of 17/11 Biorthogonal Wavelet and Its Performance Analysis for Image Compression[J]. Journal of Electronics & Information Technology, 2007, 29(6): 1403-1407. doi: 10.3724/SP.J.1146.2005.01358
Citation: Liu Zai-de, Zheng Nan-ning, Liu Yue-hu, Yang Guo-an, Tian Li-hua. Optimization Design of 17/11 Biorthogonal Wavelet and Its Performance Analysis for Image Compression[J]. Journal of Electronics & Information Technology, 2007, 29(6): 1403-1407. doi: 10.3724/SP.J.1146.2005.01358

17/11双正交小波的优化设计及其对图像压缩性能的分析

doi: 10.3724/SP.J.1146.2005.01358
基金项目: 

国家自然科学基金(60021302, 90412010)资助课题

Optimization Design of 17/11 Biorthogonal Wavelet and Its Performance Analysis for Image Compression

  • 摘要: 许多适合于图像编码的小波,如CDF-9/7,Winger-17/11(W-17/11),Villasenor-6/10和10/18(V-6/10和V-10/18)小波,其滤波器系数是无理数,需要用无限的计算精度实现对应的离散小波变换(DWT)。该文给出了一种参数化构造17/11双正交小波组的简便方法:首先把小波合成滤波器表示为用两个自由参数表达的三角多项式,然后把双正交小波的精确重构条件归结为一个线性方程组,最后求解此方程组得到对应的小波分解滤波器,从而得到了17/11双正交小波滤波器的参数表达式。通过调整表达式中的自由参数,可以随意构造具有所需特征的17/11线性相位小波滤波器。作为构造实例,构造出一种新的有理系数17/11双正交小波滤波器,它具有优化的编码增益。实验表明:其压缩性能与W-17/11和V-10/18小波滤波器相当,优于CDF-9/7和V-6/10小波滤波器。
  • Cohen A, Daubechies I, and Feauveau J C. Biorthogonal bases of compactly supported wavelets[J].Commun. Pure Appl. Math.1992, 45(5):485-560[2]Sweldens W. The lifting scheme: A custom-design of biorthogonal wavelets[J].Applied Computational and Harmonic Analysis.1996, 3(2):186-200[3]Winger L L and Venetsanopoulos A N. Biorthogonal nearly coifet wavelets for image compression[J].Signal Processing: Image Communication.2001, 16(9):859-869[4]Villasenor J D, Belzer B, and Liao J. Wavelet filter evaluation for image compression[J].IEEE Trans. on Image Processing.1995, 4(8):1053-1060[5]Tsai M J, Villasenor J D, and Chen F. Stack-run image coding[J].IEEE Trans. on Circuits and Systems Video Tech.1996, 6(5):519-521[6]ISO/IEC 15444-1 (2nd Edition), Information technology― JPEG 2000 image coding system: core coding system. 2004.[7]Daubechies I and Sweldens W. Factoring wavelet transforms into lifting steps[J].J. Fourier Analysis and Applications.1998, 4(3):247-269[8]刘在德,郑南宁,宋永红等. 高性能、有理系数9/7双正交小波滤波器组的设计. 西安交大学报(自然版), 2005, 39(8): 848-851.[9]Katto J and Yasuda Y. Performance evaluation of subband coding and optimization. Proc. SPIE Symposium on Visual Comm. and Image Proc., Boston, U.S.A, 1991, vol. 1605: 95-106.[10]Woods J W and Naveen T. A filter based bit allocation scheme for subband compression of HDTV[J].IEEE Trans. on Image Processing.1992, 1(3):436-440[11]Said A and Pearlman W A. A new, fast, efficient image codec based on set partitioning in hierarchical tree[J].IEEE Trans. on Circuits and Systems Video Tech.1996, 6(3):243-250
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出版历程
  • 收稿日期:  2005-10-27
  • 修回日期:  2006-04-17
  • 刊出日期:  2007-06-19

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