DSP技术的整数小波变换图象压缩

Integral Wavelet Transformation Image Compression Based on DSP

随着互联网的普及和图像应用范围的不断扩大,对图像的编码提出了新的要求,即不仅要求高的压缩比,还要求有许多新的功能,如渐进编解码、从有损压缩到无损压缩等。小波编码较好地实现了这一思想,从小波滤波器的多相位矩阵出发,利用因子分解方法,实现了小波变换由传统卷积模式转变到提升体制,克服了第一代小波变换所带来的缺陷。在此基础上实现了整数到整数小波变换,利用数字信号处理器(DSP)予以实现。

With the extensive application of internet and image,some new requirements on image coding,such as high compression rate,compressive code,and compression from loss to lossless,are to be performed well by wavelet coding.This paper starts off with mutil-phasic matrix of wavelet filter,makes use of gene analyzing,and realizes the transforma-tion of wavelet from tradition model to exaltation system,that can overcome the limitation caused by the first generation wavelet transform.and based on this realizes transformation from integer to integral wavelet.Then this is realized by us-ing digital signal processing.The experimental results is satisfied.