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基于Contourlet变换的红外视频监控图像去噪算法研究
引用本文:王博,张成,车进.基于Contourlet变换的红外视频监控图像去噪算法研究[J].贵州大学学报(自然科学版),2012,29(2):87-90,95.
作者姓名:王博  张成  车进
作者单位:宁夏大学 物电学院,宁夏 银川,750021
基金项目:国家自然科学基金,宁夏自然科学基金
摘    要:提出了将基于Contourlet变换结合循环平移的去噪算法应用到红外视频监控图像中。对于加性高斯噪声背景下的红外视频图像,实验结果表明,本算法较基于传统小波变换,小波变换结合循环平移以及单一使用Contourlet变换的算法,可以更有效地提升图像去噪后的视觉效果,同时明显提高了图像的峰值信噪比(PSNR).

关 键 词:小波变换  阈值  Contourlet变换  循环平移  峰值信噪比

Research on De-noising Algorithm of Infrared Image of Video Surveillance Based on Contourlet Transform
WANG Bo , ZHANG Cheng , CHE Jin.Research on De-noising Algorithm of Infrared Image of Video Surveillance Based on Contourlet Transform[J].Journal of Guizhou University(Natural Science),2012,29(2):87-90,95.
Authors:WANG Bo  ZHANG Cheng  CHE Jin
Institution:(School of Physics and Electrical Information,Ningxia Uiversity,Yinchuan 750021,China)
Abstract:An algorithm for de-noising of infrared image of video surveillance based on combination of contourlet transform and cycle spinning is proposed.The results of experiment show that the proposed method for infrared images under additive gaussian noise is better than wavelet transform,contourlet transform,combination of wavelet transform and cycle spinning respectively in terms of the visual effects.Besides,PSNR values of proposed method are appreciably improved.
Keywords:wavelet transform  threshold  contourlet transform  cycle spinning  PSNR
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