| 基于小波系数相关性的图像去噪 |
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| 引用本文： | 蔡良师,郑南山.基于小波系数相关性的图像去噪[J].测绘科学,2012(1):94-95. |
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| 作者姓名： | 蔡良师 郑南山 |
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| 作者单位： | 中国矿业大学环测学院/国土环境与灾害监测国家测绘局重点实验室 |
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| 基金项目： | 国土环境与灾害监测国家测绘局重点实验室开放基金资助项目(LEDM2009A01) |
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| 摘 要： | 本文提出了一种基于小波系数相关性的图像去噪方法。针对自适应去噪方法平滑掉实际信号的不足,利用小波分解系数近指数的衰减特性及同一尺度上各信号分量的相关性分析,对每个小波系数设置不同的阈值,区别对待信号的低频和高频系数,最后重构小波。实验结果表明,从视觉和峰值信噪比(PSNR)上,本文使用的方法优越于全局阈值法。
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| 关 键 词： | 小波变换 相关性 图像去噪 峰值信噪比 |
Image denoising based on correlation of wavelet coefficients |
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| CAI Liang-shi,ZHENG Nan-shan.Image denoising based on correlation of wavelet coefficients[J].Science of Surveying and Mapping,2012(1):94-95. |
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| Authors: | CAI Liang-shi ZHENG Nan-shan |
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| Institution: | (School of Environmental Science and Spatial Informatics,China University of Mining and Technology/ Key Laboratory for Land Environment and Disaster Monitoring of SBSM,Jiangsu Xuzhou 221116,China) |
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| Abstract: | An image denoising method based on the wavelet coefficients was proposed in the paper.According to exponent attenuation of the wavelet coefficients in image decomposition and the correlation analysis of coefficients at the same scale,each coefficient of wavelet component was set different threshold and different algorithms for the coefficients of low and high frequencies were adopted respectively.Finally,the denoised image was obtained by wavelet reconstruction.The results showed that the proposed method was more efficient compared with traditional approaches in terms of visual quality and PSNR(Peak Signal Noise Ratio). |
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| Keywords: | wavelet transform correlation image denoising peak signal noise ratio |
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