多通道小波在掌纹图象几何变换与消噪中的应用

提出了三通道小波变换的思路，解决了实际应用中获得的掌纹图象，由于采样问题而产生严重几何变形的校正问题，采用QMF的方法构造出多通道小波滤波器组，三通道小波分解后进行二插值重建对数字图象进行重采样，从而达到图象几何变换的目的，小波变换有分频的特性，在对图象进行几何变换处理的同时，也对采样效应引起的噪声（Morie条纹）进行了消除，掌纹图象经过处理后的效果令人满意，从而证明方案可行。

Palm-print Image Geometry Deformation and De-Noising Via Multi-Channel Wavelet

This paper introduces a method to recover seriously deformed palm-print images via three-channel wavelet transform. Those filters sharing common input or output signals with other are called as a filters bank. The deformation processing in this paper is just like digital resample, in which a filters bank with three filters is implemented to the palm-print images for wavelet decomposition, and then a procedure of binary interpolating is performed after the image is reconstructed by another filters bank which also has three filters. A way on QMF method to design multi-channel wavelet filter banks is introduced in this paper, too. Because the wavelet transform has the feature of frequency division, the images are de-noised, eliminated the sample effect(the Morie stripe), at the same time. The 3-channel wavelet transform extends multi-resolution wavelet analysis that can only be based on the scales 2j, thus makes the multi-resolution wavelet analysis more in detail. The method is feasible and the results are acceptable.