图像噪声方差大小的测量新算法

doi:10.3969/j.issn.1000-1158.2012.02.05

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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

PACS:

TP96

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	Articles by authors
	LI Hong-jun
	ZHAO Zhi-min
	WEI Ben-zheng
	JI Lei

Cite this article:

LI Hong-jun,ZHAO Zhi-min,WEI Ben-zheng, et al. A Novel Algorithm of Image Noise Variance Measurement[J]. Acta Metrologica Sinica, 2012, 33(2): 121-125.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2012.02.05 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2012/V33/I2/121

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