Title :
A Bayesian approach to image restoration
Author :
Wrangsjö, Andreas ; Borga, Magnus ; Knutsson, Hans
Author_Institution :
Dept. of Biomedical Eng., Linkoping Univ., Sweden
Abstract :
A method for reducing additive noise in images by explicit analysis of local image statistics is introduced and compared to other noise reduction methods. The proposed method, which makes use of an a priori noise model, has been evaluated on artificial and real (MRI) image data.
Keywords :
Bayes methods; biomedical MRI; image denoising; image restoration; medical image processing; Bayesian approach; a priori noise model; additive noise reduction; artificial MRI image data; image restoration; local image statistics; real MRI image data; Additive noise; Bayesian methods; Biomedical engineering; Biomedical informatics; Image restoration; Low pass filters; Noise reduction; Statistics; Stochastic processes; Stochastic resonance;
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8388-5
DOI :
10.1109/ISBI.2004.1398650
