Citation

Sim, K.-S. and Tso, C.-P. and Law, K.-K. (2008) Image noise variance estimation using the mixed Lagrange time-delay autoregressive model. Microscopy Research and Technique, 71 (4). pp. 315-324. ISSN 1059910X

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Abstract

The mixed Lagrange time-delay estimation autoregressive (MLTDEAR) model is proposed as a solution to estimate image noise variance. The only information available to the proposed estimator is a corrupted image and the nature of additive white noise. The image autocorrelation function is calculated and used to obtain the MLTDEAR model coefficients; the relationship between the MLTDEAR and linear prediction models is utilized to estimate the model coefficients. The forward-backward prediction is then used to obtain the predictor coefficients; the MLTDEAR model coefficients and prior samples of zero-offset autocorrelation values are next used to predict the power of the noise-free image. Furthermore, the fundamental performance limit of the signal and noise estimation, as derived from the Cramer-Rao inequality, is presented.

Item Type:	Article
Subjects:	T Technology > T Technology (General) Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	13 Sep 2011 03:56
Last Modified:	13 Sep 2011 03:56
URII:	http://shdl.mmu.edu.my/id/eprint/2751

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