A Novel Algorithm of Image Noise Variance Measurement

LI Hong-jun; ZHAO Zhi-min; WEI Ben-zheng; JI Lei

doi:10.3969/j.issn.1000-1158.2012.02.05

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Acta Metrologica Sinica ›› 2012, Vol. 33 ›› Issue (2) : 121-125. DOI: 10.3969/j.issn.1000-1158.2012.02.05

A Novel Algorithm of Image Noise Variance Measurement

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

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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.

Key words

Metrology / Image noise / Noise measurement / GGD / Wavelet domain

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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

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