一级黄色片免费播放|中国黄色视频播放片|日本三级a|可以直接考播黄片影视免费一级毛片

高級搜索

留言板

尊敬的讀者、作者、審稿人, 關(guān)于本刊的投稿、審稿、編輯和出版的任何問題, 您可以本頁添加留言。我們將盡快給您答復。謝謝您的支持!

姓名
郵箱
手機號碼
標題
留言內(nèi)容
驗證碼

基于9/7雙正交小波的一種高效矢量量化算法

潘建壽,  孫宏偉

潘建壽, 孫宏偉. 基于9/7雙正交小波的一種高效矢量量化算法[J]. 電子與信息學報, 2002, 24(7): 900-904.
引用本文: 潘建壽, 孫宏偉. 基于9/7雙正交小波的一種高效矢量量化算法[J]. 電子與信息學報, 2002, 24(7): 900-904.
Pan Jianshou, Sun Hongwei . An Efficient vector quantization algorithm based on 9/7 biorthogonal wavelet[J]. Journal of Electronics & Information Technology, 2002, 24(7): 900-904.
Citation: Pan Jianshou, Sun Hongwei . An Efficient vector quantization algorithm based on 9/7 biorthogonal wavelet[J]. Journal of Electronics & Information Technology, 2002, 24(7): 900-904.

基于9/7雙正交小波的一種高效矢量量化算法

An Efficient vector quantization algorithm based on 9/7 biorthogonal wavelet

  • 摘要: 該文提出一種用于圖像壓縮的矢量量化算法,該算法用9/7雙正交小波對圖像進行分解,利用三個方向上各自小波系數(shù)之間的相關(guān)性,構(gòu)造符合其特征的跨頻帶矢量,提高了圖像的編碼效率和重構(gòu)質(zhì)量,同時采用了新的矢量量化技術(shù)漸進構(gòu)造聚類(PCC),實驗結(jié)果證明,該算法在未熵編碼的條件下,獲得 PSNR32dB的重構(gòu)圖像,比特率高達 0.141 bpp.而且實現(xiàn)方法十分簡單。
    Abstract: A novel wavelet-based vector quantization (VQ) algorithm is presented in this paper. In this algorithm, first, 9/7 biorthogonal wavelet transform decomposes the original image, then the correlation of the three directions wavelet coefficients is used to construct the band-cross vector. Therefore, the high coding efficiercy is obtained. In addition, a new VQ technology is used in this algorithm to improve the coding efficiency and the quality of the code-book. The experimental results show that this coding scheme, no entropy-coding, can get a reconstruction quality(PSNR32dB) at a very low bit rate(0.142 bpp) with high feasibility.
    • HTML全文
  • I. Daubechies, A. Cohen, et al., Biorthonormal bases of compactly supported wavelels, Comm.Pure Appl. Math., 1992, (45), 485-560.[2]S. Mallat, A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1989, PAMI-11(7), 674-693.[3]J.1. M. Shapiro, Embedded image coding using zerotrees of wavelet coefficients, IEEE Trans. on SP. 1993, SP-41(12), 3445-3462.[4]A. Said, W. Pearlman, A new fast and efficient image code based on set partitioning in hierarchical trees, IEEE Trans. on Circuits and System Video Tech., 1996, GAS VT-6(3), 243-249.[5]M. Antonini, M. Barland, P. Mathieu, et al., Image coding using wavelet transform, IEEE Trans.on IP, 1992, IP-1(4), 205-220.[6]磊,戚飛虎,基于雙正交小波的快速矢量量化算法,上海交大學報,1998,6(32),4-8[7]王光學,趙文革,萱長修,一種基于小波及低復雜度矢量量化的視頻編碼算法,重慶大學學報,2000[8]A. Bran, R. Thomas, Quantization performance in SPIHT and related wavelet image compression algorithms, IEEE SP Letters., 1999, 5(6), 97-99.[9]N. Akrout, R. Prost, Goutter. Image compress by vector quantization: a review focused on codebook generation, Image and Vision Computing, 1994, 12(10), 627-637.
  • 加載中
計量
  • 文章訪問數(shù):  2091
  • HTML全文瀏覽量:  106
  • PDF下載量:  461
  • 被引次數(shù): 0
出版歷程
  • 收稿日期:  2000-09-12
  • 修回日期:  2001-04-05
  • 刊出日期:  2002-07-19

目錄

    /

    返回文章
    返回