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

Volume

4

fYear

2007

fDate

19-22 Aug. 2007

Firstpage

2150

Lastpage

2153

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMLC.2007.4370500

Filename

4370500