Acta Metrologica Sinica  2012, Vol. 33 Issue (2): 121-125    DOI: 10.3969/j.issn.1000-1158.2012.02.05
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A Novel Algorithm of Image Noise Variance Measurement
LI Hong-jun1,ZHAO Zhi-min1,WEI Ben-zheng1,2,JI Lei1
1. Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016,China
2. College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250355, China
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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 wordsMetrology      Image noise      Noise measurement      GGD      Wavelet domain     
PACS:  TP96  
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LI Hong-jun
ZHAO Zhi-min
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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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