title: Image noise variance estimation using the mixed Lagrange time-delay autoregressive model.
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.
authors.affiliation: Faculty of Engineering and Technology, Multimedia University, Melaka, Malaysia. sksbg2003@yahoo.com
authors.forename: K-S
authors.initials: KS
authors.lastname: Sim
authors.forename: C-P
authors.initials: CP
authors.lastname: Tso
authors.forename: K-K
authors.initials: KK
authors.lastname: Law
mesh_terms: D007089:Image Enhancement; D007091:Image Processing, Computer-Assisted; D008855:Microscopy, Electron, Scanning / Q000379:methods*; D008954:Models, Biological; D012984:Software; D014934:Wood / Q000648:ultrastructure