Title :
Two-dimensional Bayesian estimator for image filtering
Author_Institution :
Dept. of Electron., Shandong Polytech. Univ., Jinan, China
fDate :
7/1/1999 12:00:00 AM
Abstract :
The two-dimensional (2-D) Bayesian estimator is a recursive filtering useful in smoothing Gaussian white noise of images. In this correspondence, a formula is derived for precomputing the steady-state gain of the 2-D Bayesian estimator. Based on it, some new filterings are developed. Examples show that they can smooth Gaussian white noise more efficiently
Keywords :
Bayes methods; Gaussian noise; estimation theory; image processing; multidimensional signal processing; recursive filters; smoothing methods; white noise; Gaussian white noise; image filtering; recursive filtering; smoothing; steady-state gain; two-dimensional Bayesian estimator; Bayesian methods; Filtering algorithms; Image sensors; Kalman filters; Recursive estimation; Smoothing methods; Steady-state; Transfer functions; Two dimensional displays; White noise;
Journal_Title :
Image Processing, IEEE Transactions on
