摘要
从Gaussian函数出发,根据尺度呈级数变化的特点,导出了反对称提升小波滤波器。该滤波器低通响应关于原点对称,高通响应关于原点反对称,而且截断误差很小,具有近似的紧支撑性和平滑性。并以此为基础,实现了影像的分解与重建算法。
In this paper, according to the characteristic that the scale exhibits progressional variety, anti-symmetric lifting wavelet filter is deduced from Gaussian function. The lowpass impulse response of the filter is symmetric at origin, the hignpass response of the filter is anti-symmetrie at origin, and the trtmcation error is very small. They have the characteristics of approximation compact support and smoothness. Also, based on the antisymmetric wavelets, the decomposition and reconstruction of remote sensing image have been achieved.
出处
《山东建筑大学学报》
2007年第3期263-267,共5页
Journal of Shandong Jianzhu University
基金
航天基金项目(0747-0540SITC2099-4)
关键词
小波滤波器
多尺度分析
反对称
分解与重建
wavelet filter
multiscale analysis
anti-symmetric
decomposition and reconstruction
