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Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time.
- Source :
-
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society [IEEE Trans Image Process] 2003; Vol. 12 (12), pp. 1579-90. - Publication Year :
- 2003
-
Abstract
- In this paper, we introduce a new method for image smoothing based on a fourth-order PDE model. The method is tested on a broad range of real medical magnetic resonance images, both in space and time, as well as on nonmedical synthesized test images. Our algorithm demonstrates good noise suppression without destruction of important anatomical or functional detail, even at poor signal-to-noise ratio. We have also compared our method with related PDE models.
Details
- Language :
- English
- ISSN :
- 1057-7149
- Volume :
- 12
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
- Publication Type :
- Academic Journal
- Accession number :
- 18244712
- Full Text :
- https://doi.org/10.1109/TIP.2003.819229