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基于平稳小波/Contourlet域非线性扩散的印章图像去噪

吴一全 侯雯 张晓杰 陈丹

测试技术学报2011,Vol.25Issue(5):455-460,6.
测试技术学报2011,Vol.25Issue(5):455-460,6.DOI:10.3969/j.issn.1671-7449.2011.05.015

基于平稳小波/Contourlet域非线性扩散的印章图像去噪

Seal Image De-noising Based on Stationary Wavelet/Contourlet Transform and Nonlinear Diffusion

吴一全 1侯雯 2张晓杰 2陈丹2

作者信息

  • 1. 文件检验鉴定公安部重点实验室(中国刑事警察学院),辽宁沈阳110854
  • 2. 南京航空航天大学电子信息工程学院,江苏南京210016
  • 折叠

摘要

Abstract

In the seal imprint verification system, obtaining high quality preprocessed image is the prerequisite for correctly verifying the seal imprint of documents. A seal image de-noising method combining stationary wavelet/contourlet transform with nonlinear diffusion was proposed. Firstly, an image was decomposed by stationary wavelet/contourlet transform. Then adaptive-contrast-factor diffusion and total variation diffusion were applied to high-frequency components and low-frequency components, respectively. Finally the image was synthesized. The experimental results were given. Comparisons of the image de-noising results were made with those of the image de-noising methods based on the combination of wavelet shrinkage with total variation diffusion, and the combination of improved contourlet transform with adaptive-contrast-factor diffusion. Running time of the above-mentioned algorithms was also contrasted. It is shown that the proposed image de -noising methods based on stationary wavelet/contourlet transform and nonlinear diffusion can obtain superior results. They can both remove noise and preserve the original edges more efficiently.

关键词

图像处理/印章鉴别/图像去噪/Contourlet变换/平稳小波变换/自适应对比度扩散/全变差扩散

Key words

seal verification/ image de-noising/ contourlet transform/ stationary wavelet transform/ adaptive-

分类

信息技术与安全科学

引用本文复制引用

吴一全,侯雯,张晓杰,陈丹..基于平稳小波/Contourlet域非线性扩散的印章图像去噪[J].测试技术学报,2011,25(5):455-460,6.

基金项目

国家自然科学基金资助项目(60872065) (60872065)

文件检验鉴定公安部重点实验室(中国刑事警察学院)资助课题(10KFKT005) (中国刑事警察学院)

测试技术学报

OACSTPCD

1671-7449

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