Abstract:
A new type of nonseparable biorthogonal symmetric wavelet filter is constructed. The coefficients of this filter are rational, the corresponding wavelet function has 4 vanishing moments and the scaling function has better Hölder smoothness. Boundary extension method for data reconstruction based on this filter is also proposed. The experiment results by using SPIHT and SPECK algorithms show that the filter has good performances on two dimension data compression.
Key words:
Nonseparable biorthogonal wavelet,
Boundary extension,
Data compression
摘要： 构造了一种新的不可分双正交的对称小波滤波器，该滤波器具有有理系数，其对应的小波函数具有四阶消失矩，尺度函数具有非常好的Hölder光滑性。同时提出了基于该滤波器进行数据重构时的边界延拓方法。使用SPIHT和SPECK两种算法的实验表明，该文构造的小波滤波器在二维数据压缩方面具有较好的效果。
关键词:
不可分双正交小波,
边界延拓,
数据压缩
HUANG Chao; WU Qinglie; WU Zhong. Two Dimension Data Compression Method
Based on Nonseparable Biorthogonal Wavelets
[J]. Computer Engineering, 2006, 32(23): 45-46,5.
黄 超;吴清烈;武 忠. 基于不可分双正交小波的二维数据压缩方法[J]. 计算机工程, 2006, 32(23): 45-46,5.