Title :
Medical image restoration using multiple-point geostatistics
Author_Institution :
Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia
Abstract :
Noise inherently exists in medical and biological images as any imaging device, by a finite exposure time, is subject to stochastic noise from the random arrival events of photons. The purpose of image restoration is to bring back as much as possible the original image from its degraded state. This paper presents a spatial multiple-point statistical approach for restoration of medical image degradation.
Keywords :
biomedical MRI; computerised tomography; image restoration; medical image processing; noise; statistical analysis; stochastic processes; medical image degradation; medical image restoration; multiple point geostatistics; statistical approach; stochastic noise; Biomedical imaging; Geology; Image restoration; Magnetic resonance imaging; Noise; Pixel; Training;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5639528
