图像噪声方差大小的测量新算法

李洪均; 赵志敏; 魏本征; 季雷

doi:10.3969/j.issn.1000-1158.2012.02.05

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计量学报 ›› 2012, Vol. 33 ›› Issue (2) : 121-125. DOI: 10.3969/j.issn.1000-1158.2012.02.05

图像噪声方差大小的测量新算法

李洪均¹,赵志敏¹,魏本征^1,2,季雷¹

作者信息 +

A Novel Algorithm of Image Noise Variance Measurement

LI Hong-jun¹,ZHAO Zhi-min¹,WEI Ben-zheng^1,2,JI Lei¹

Author information +

文章历史 +

摘要

针对图像中的高斯白噪声,提出了一种利用小波系数分布特征进行噪声估计的算法。根据小波系数的分布特点,利用广义高斯分布模型对小波系数进行拟合,并用广义高斯分布模型参数（尺度和形状参数）提出了一种有效的噪声方差估计算法。实验结果表明,提出的噪声方差估计算法能有效地估计噪声方差大小,同时估计的结果要好于其它相关的算法。这种噪声测量算法具有高精度性和快速性。

Abstract

To estimate noise variance of Gaussian white noise, a new method by the character of wavelet coefficients distribution is proposed. The wavelet coefficients in each sub-band can be well modelized by a Generalized Gaussian Distribution (GGD) whose parameters (scale and shape parameters) can be used to estimate noise variance. The simulation results show that the noise variance estimate method is efficient. It can obtain approximately optimal value, and need less computing time.

导出引用

李洪均,赵志敏,魏本征,季雷. 图像噪声方差大小的测量新算法[J]. 计量学报. 2012, 33(2): 121-125 https://doi.org/10.3969/j.issn.1000-1158.2012.02.05

LI Hong-jun,ZHAO Zhi-min,WEI Ben-zheng,JI Lei. A Novel Algorithm of Image Noise Variance Measurement[J]. Acta Metrologica Sinica. 2012, 33(2): 121-125 https://doi.org/10.3969/j.issn.1000-1158.2012.02.05

中图分类号： TP96

参考文献

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