Title :
A Statistical Analysis on Differential Signals for Noise Level Estimation
Author :
Li, Wei-hai ; Wang, Bo
Author_Institution :
Univ. of Sci. & Technol. of China, Hefei
Abstract :
A new noise level estimating method based on a statistical analysis is proposed here. In this method, the noise characteristics are obtained by matching theoretical distribution curve to differential signal histogram. As an example, the problem is addressed to additive white Gaussian noise in digital images, and the noise variance is estimated. The efficiency of this method is verified by the accurate experiment results.
Keywords :
AWGN; Gaussian distribution; estimation theory; image denoising; Gaussian distribution; additive white Gaussian noise removal; differential signal histogram; digital image processing; noise level estimation; noise variance estimation; statistical analysis; theoretical distribution curve; Additive white noise; Cybernetics; Digital images; Gaussian noise; Histograms; Machine learning; Noise level; Probability density function; Statistical analysis; White noise; Curve match; Difference analysis; Gaussian distribution; Noise level estimation; Statistical histogram;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370500
