Title :
Sequential Estimation Technique for Enhancement of Noisy Images
Author :
Keshavan, H.R. ; Srinath, Mandyam D.
Author_Institution :
Department of Electrical Engineering, Southern Methodist University
Abstract :
A sequential estimation algorithm for the enhancement of noisy images is presented. A set of parameters obtained by a transformation of an autoregressive (AR) model representing the image process, is used for computational advantages. The method presented has an added advantage that it requires no a priori knowledge of the statistics of the noise-free data. Several examples are presented to illustrate the utility of the algorithm.
Keywords :
Image enhancement, minimum mean square error, parameter identification, sequential estimation.; Autocorrelation; Biomedical computing; Biomedical imaging; Filtering; Image analysis; Image coding; Low pass filters; Mean square error methods; Parameter estimation; Statistics; Image enhancement, minimum mean square error, parameter identification, sequential estimation.;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1977.1674732
