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多通道小波在掌纹图象几何变换与消噪中的应用
Palm-print Image Geometry Deformation and De-Noising Via Multi-Channel Wavelet
【摘要】 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 .
【Abstract】 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.
【Key words】 Multi-channel wavelet; Filter banks; Palm-print; Geometry deformation; Image de-noising;
- 【文献出处】 中国图象图形学报 ,Journal of Image and Graphics , 编辑部邮箱 ,2002年08期
- 【分类号】TP391.41
- 【被引频次】5
- 【下载频次】105