多小波处理图像压缩的实现

小波技术作为一种信号处理工具在图像压缩和去噪等方面都有着很好的应用.但是,有紧支性的正交对称单小波系统是不存在的,将生成小波的一个尺度函数换作多个尺度函数,就产生了多小波的概念.与单小波相比较,多小波同时具备诸如紧支性、正交性、对称性等诸多在信号处理中非常重要的良好性质;这决定了多小波是一种优于单小波的信号处理技术.以GHM多小波为例,将多小波通过前滤波后用于图像压缩,并将其结果与单小波相比较,获得较好的结果

Realization of Image Compression with Multi-wavelets

Wavelets are a useful tool for signal processing applications such as image compression and denoising. But there is not such a single wavelets that possess compact-support, orthogonality, and symmetry at the same time. Instead of being generated by one scaling function, multiwavelets are sereval wavelets with several scaling functions. In comparison to scalar wavelets, multiwavelets simutaneously have several advantages such as compactsupport, orthogonality symmetry and so on, which are known to be important in signal processing. Thus, multiwavelets offer the possibility of superior performance for image processing applications. The GHM multi-wavelets as an example is taken, it in the image compression after the front filter is used, and its result with the single wavelet a better result is obtained.