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一种新的图像自适应阈值去噪方法
引用本文:何国栋,丁绪星,秦慧平,等.一种新的图像自适应阈值去噪方法[J].无线电通信技术,2014(2):60-62.
作者姓名:何国栋  丁绪星  秦慧平  
作者单位:安徽师范大学物理与电子信息学院,安徽芜湖241000
基金项目:安徽省高校省级自然科学基金项目 (KJ2011Z138);安徽师范大学校青年基金项目(2009xqn64)
摘    要:针对小波变换缺乏平移不变性产生的伪吉布斯现象(Gibbs-like phenomena)和Donoho阈值去噪方法阈值单一的缺陷,提出了基于Cycle Spinning的图像自适应阈值去噪方法,Cycle Spinning能抑制伪吉布斯现象,并且给出了阈值自适应因子,阈值能根据不同高频子带自适应改变。实验显示,该方法提高了去噪图像峰值信噪比(PSNR),降低了均方误差(MSE),去噪图像清晰,获得较好的视觉效果。

关 键 词:小波变换  Cycle  Spinning  图像去噪  自适应阈值

A New Adaptive Threshold Method for Image Denoising Using Cycle Spinning
HE Guo-dong,DING Xu-xing,QIN Hui-ping,XIE Xiao-juan,FENG You-hong.A New Adaptive Threshold Method for Image Denoising Using Cycle Spinning[J].Radio Communications Technology,2014(2):60-62.
Authors:HE Guo-dong  DING Xu-xing  QIN Hui-ping  XIE Xiao-juan  FENG You-hong
Affiliation:( The College of Physics and Electronic Information, Anhui Normal University, Wuhu Anhui 241000, China)
Abstract:A new adaptive threshold method for image denoising using Cycle Spinning was proposed to overcome the limitation of Donoho threshold denoising method and Gibbs-like phenomena due to lack of translation invarianee of wavelet translation.Cycle Spinning can reduce the Gibbs-like phenomena.An adaptive factor was defined so that the threshold can vary according to different sub-bands. Experiments show that the new method can improve the PSNR ( peak signal to noise ratio) and reduce the MSE ( mean square error) , and get clear denoised image.
Keywords:wavelet transform  cycle spinning  image denoising  adaptive threshold
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