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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

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【作者】 李峰泉曾衍钧欧阳骏孙晓鹏

【Author】 LI Feng-quan 1), ZENG Yan-jun 1), OU-YANG Jun 2), SUN Xiao-peng 1) 1)(Biomedical Engineering Center,Beijing Polytechnic University, Beijing 100022) 2)(Beijing MicroView Electronic Technique Co.Ltd, Beijing 100080)

【机构】 北京工业大学生物医学工程中心北京微视电子技术有限公司北京工业大学生物医学工程中心 北京100022北京100022北京100080北京100022

【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.

【基金】 北京市教委科技发展计划项目
  • 【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
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