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一种基于小波系数上下文模型的图像压缩方法
引用本文:杨武,董世都,张光建.一种基于小波系数上下文模型的图像压缩方法[J].微电子学与计算机,2006,23(4):153-155,159.
作者姓名:杨武  董世都  张光建
作者单位:重庆工学院计算机系,重庆,400050
摘    要:提出了二种新颖的基于小波系数上下文模型的图像压缩方法,该方法通过量化当前系数的线性预测值形成上下文.进行自适应的算术编码;同时利用了小波变换的多分辨率性质,以渐近分辨率的方式压缩图片,具有分辨率可扩展性。实验结果表明,该方法获得的无损压缩比高于SPIHT和用于JPEG2000的EBCOT,在各分辨率下的压缩比也高于EBCOT.压缩时间也比EBCOT要少。

关 键 词:小波  上下文  无损图像压缩  渐进分辨率
文章编号:1000-7180(2006)04-153-03
收稿时间:2005-05-10
修稿时间:2005-05-10

An Image Coding Scheme Based on the Context Model of Wavelet Coefficients
YANG Wu,DONG Shi-du,ZHANG Guang-jian.An Image Coding Scheme Based on the Context Model of Wavelet Coefficients[J].Microelectronics & Computer,2006,23(4):153-155,159.
Authors:YANG Wu  DONG Shi-du  ZHANG Guang-jian
Affiliation:Department of Computer Science, Chongqing Institute of Technology, Chongqing 400050
Abstract:A new image-coding scheme based on context model of wavelet coefficients is proposed. The arithmetic encoder encodes wavelet coefficients with the contexts formed by quantizing linear prediction values. In addition, by exploiting the multi-resolution property of wavelet, the scheme that is resolution-scaleable can compress the transformed image for progressive resolution. Experimental results show that the scheme achieves higher lossless compression rate of image than lossless SPIHT and lossless EBCOT that is used in JPEG2000. The scheme earns higher compression rate for each scale of the image than EBCOT and costs less time to compress image than EBCOT.
Keywords:Wavelet  Context  Lossless image compression  Progressive resolution
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