摘要
针对传统小波变换过程复杂的缺点和SPIHT算法编码过程重复运算、存储量大的问题,提出了一种改进的小波变换图像压缩方法。该方法首先对纹理丰富的图像进行3级小波变换,再对高频子带通过小波树分类器分为低频树和高频树。最后对最低频子带进行差值脉冲编码调制(DPCM),对低频树和高频树分别进行SPIHT和自适应算术编码(MQ)。仿真结果表明,在压缩比相同的情况下,该方法不仅能够在几乎不降低图像恢复质量的前提下提高了编码速度,而且能够降低存储空间的消耗。压缩整体性能明显要优于SPIHT算法。
In view of the problems of complicated convolution process of wavelet transform,repeated calculations and a large of needed memories of SPIHT algorithm,An improved method that uses wavelet transform for image compression is presented.In this method,Firstly,wavelet transform is applied to rich image for a full de-composition.Secondly,a wavelet-tree classifier can efficiently divide the high frequency sub-band into class: low frequency tree and high frequency tree.Finally,the DPCM,the SPIHT and the MQ are use...
出处
《舰船电子工程》
2008年第10期86-89,共4页
Ship Electronic Engineering
