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Internet上图象渐进传输的研究 被引量:4

The Research of Image Progressive Transmission on Internet
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摘要 在Internet环境中 ,每个用户所占用的网络带宽是不同的 ,并且随着网络状况的动态变化而变化 ,不同用户对图象的质量要求也不一样 ,因此要求服务器端的图象编码器必须具有高度的适应性。1 993年 ,Shapiro提出的小波零树编码算法是一种非常有效的基于小波变换的图象编码方法 ,该算法编码器输出的比特流是按其重要性排序的 ,是对原图象一种渐进的二进制表示。在该算法的基础上 ,提出了一个适合Internet环境下的静态图象渐进传输解决方案 ,最后给出了实验结果。 In a Internet environment, bandwidth of each user is heterogeneous and may change according to current network condition and different user requires different image quality, so a highly scalable image coder is required in the server end. In 1993,Shapiro showed a very successful image coding algorithm named Embedded Zerotree Wavelet(shorted for EZW) which is a very effective image coding method based on wavelet transform, the output bit stream of this coder is ordered by its importance and can be regarded as a progressive binary representation of source image. Base on his algorithm, this paper provides a still image transmission method suitable for Internet environment.
出处 《计算机应用研究》 CSCD 北大核心 2001年第12期41-43,共3页 Application Research of Computers
关键词 图象渐进传输 图象编码 小波变换 MPEG-4 INTERNET Image Transmission Wavelet Transform EZW
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参考文献2

  • 1杨福生,小波变换的工程分析与应用,1999年
  • 2Jie Liang,ACM Multimedia 97,Electronic Proceedings,1997年

同被引文献8

  • 1刘清波,李国辉,涂丹.一个基于渐进传输和动态感兴趣区域编码的远程维护系统[J].计算机工程与科学,2005,27(1):19-21. 被引量:1
  • 2Tung-Shou Chen, Chen-Yi Lin. A New Improvement of JPEG Progressive Image Transmission Using Weight Table of Quantized DCT Coefficient Bits [C]. PCM 2002 ,LNCS 2532,2002. 720-728.
  • 3Shapiro J M. Embedded Image Coding Using Zerotrees of Wavelet Coefficients[J]. IEEE Transactions on Signal Processing, 1993,41( 12 ) :3445-3462.
  • 4K F Chen, et al. Analysis and Architecture Design of EBCOT in JPEG2000[J]. Proc . IEEE Int. Syrup. on Circuils and Systems,2001, (2) :765-768.
  • 5Eui Sung Kang, Ho Joong Choi, Sung Jea Ko. Progressive Region of Interest Coding Using an Improved Embedded Zerotree Wavelet Coding[C]//Proceedings of the IEEE TENCON'99. Cheju, Korea: [s. n.]. 1999: 609-612.
  • 6J Shapiro. Embedded Image Coding Using Zerotrees of Wavelet Coefficients[ J]. IEEE Transaction on Signal Processing. 1993. 160 - 176.
  • 7S Mallat. A Theory for Multi - resolution Signal Decomposition: the Wavelet Representation[ J]. IEEE. Trans. Pattern Anal. Mech. Intell,1989,11 (7) : 674 -693.
  • 8A S Lewis and G K nowles. Image Compression Using the 2 - D Wavelet Transform [ J]. IEEE. Trans. Image Processing, 1992, 1 (2) : 244 -250.

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