Image noise variance estimation using the mixed Lagrange time-delay autoregressive model
✍ Scribed by K.-S. Sim; C.-P. Tso; K.-K. Law
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 477 KB
- Volume
- 71
- Category
- Article
- ISSN
- 1059-910X
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✦ Synopsis
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. Microsc. Res. Tech., 2008. © 2008 Wiley‐Liss, Inc.