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基于小波自适应阈值的图像去噪方法 被引量：11

De-noising Method Based on Adaptive Wavelet Thresholding
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摘要 针对基于小波变换的阈值去噪方法仅适用于去除高斯白噪声,对于脉冲噪声得不到好的降噪效果的问题,提出了将小波自适应阈值算法同中值滤波相结合的去噪方法.该方法能够有效去除高斯白噪声和脉冲噪声的混合噪声.仿真实验结果表明,去噪后图像的峰值信噪比提高了1～2dB,从而证明了该方法的有效性. The de-noising method by threshold based on wavelet transform is only used to remove Gaussian White Noise and invalid to remove impulse noise This paper proposes the de-noising method that combines wavelet adaptive threshold algorithm and median filter.This method can effectively remove fixed noises of the Gaussian White Noise and impulse noise.The simulation experiment shows that the Peak Signal-Noise Ratio of de-noising image is increased 1~2 dB,and the validity of this algorithm is demonstrated.
作者 倪虹霞 杨信昌 陈贺新
机构地区 吉林大学通信工程学院 中国人民解放军
出处 《吉林大学学报（信息科学版）》 CAS 2005年第4期445-448,共4页 Journal of Jilin University（Information Science Edition）
关键词 小波变换 中值滤波 自适应阈值去噪 <Keyword>wavelet transformation median filter adaptive wavelet threshold de-noising
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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吉林大学学报（信息科学版）
2005年 第4期

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