摘要
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1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. Strating off multi-phase matrix of wavelet filter, gene analyzing was made use of, to realize the transformation of wavelet from tradition model to exaltation system, that can overcome the limitation caused by the first generation wavelet transform. And based on this, transformation from integer to integral wavelet was realized. Then this was realized by using of digital signal processing. The experimental results are satisfied.
出处
《计算机工程与设计》
CSCD
北大核心
2005年第7期1698-1700,共3页
Computer Engineering and Design
基金
国家自然科学基金项目(60272022)。
关键词
整数小波变换
数字信号处理
图像压缩
integral wavelet transformation
digital signal processing
image compressing
