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自适应小波阈值去噪算法及在图像处理中的应用
引用本文:林杰,付梦印,李道平.自适应小波阈值去噪算法及在图像处理中的应用[J].兵工学报,2011,32(7):896-900.
作者姓名:林杰  付梦印  李道平
作者单位:(北京理工大学 自动化学院, 北京 100081)
摘    要:针对图像去噪的问题,提出一种基于自适应小波阈值去噪的算法.该方法根据噪声在小波变换下的特性自适应确定小波分解的阈值,并将去噪图像的峰值信噪比作为性能指标,采用中点法进行寻优,得到最优的阈值参数.该方法具有自适应性强、算法简单、去噪效果好等特点.通过实例表明,该方法比原有的阈值去噪算法去噪效果更佳,使图像达到更良好的视觉...

关 键 词:信息处理技术  自适应  小波变换  图像去噪  中点法

Self-adaptive Wavelet Threshold De-noising Method and Its Application in Image Processing
LIN Jie,FU Meng-yin,LI Dao-ping.Self-adaptive Wavelet Threshold De-noising Method and Its Application in Image Processing[J].Acta Armamentarii,2011,32(7):896-900.
Authors:LIN Jie  FU Meng-yin  LI Dao-ping
Affiliation:(School of Automation, Beijing Institute of Technology, Beijing 100081,China)
Abstract:For the problem image de-noising, a new method based on self-adaptive wavelet threshold algorithm was proposed. It can decide the threshold of wavelet analysis automatically according to the noise characteristics in wavelet transform, then takes PSNR as a function of filter parameter and acquires the optimal threshold parameter by using midpoint method. It has the strong self-adaptation, simple calculation,good de-noising result and so on. Experiment results show that this new method is much better than original threshold de-noising algorithms and achieves better visual effect.
Keywords:information processing    self-adaptive    wavelet transform  image de-noising  midpoint method  
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