A Bayesian Approach to Image Restoration

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.

• Type: Conference
• Year: 2004
• Where: ISBI
• Authors: Andreas Wrangsjö, Hans Knutsson, Magnus Borga
• Keywords: Additive Noise, ISBI 2004, Medical Imaging, Noise Reduction Methods, Priori Noise Model