摘要
整数提升小波变换结构简单,不需要额外的存储空间,易于实现,在图像压缩中具有很好的应用价值。但在提升结构实现的过程中,滤波器多相矩阵分解并不唯一,文章以最小非线性图形迭代函数为准则,求得在该准则下的最佳分解。同时,分析了有限精度计算对所求得的提升结构的影响。
Integer to integer wavelet transform has a simple structure,needs no more storage space and is very easy to be implemented,which is suitable for image compression.However the factorization of the polyphase matrix is not unique.This paper finds the best factorization of the polyphase under a criterion based on a measure of minimum nonlinearity of the iterated graphic functions.Meanwhile,it evaluates the effects of the finite precision on the lifting coefficients.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第8期81-82,共2页
Computer Engineering and Applications
关键词
提升结构
整数小波
图像压缩
有限精度
Lift scheme ,Integer wavelet transform,Image compress,Finite precision
