Title :
Biomedical image denoising with wavelets and Bayesian geometrical constraints
Author :
Malfait, Maurits ; Roose, Dirk
Author_Institution :
Dept, K.U. Leuve, Heverlee, Belgium
Abstract :
The authors review wavelet based denoising methods for images that focus on statistical properties and describe a new technique which adds geometrical constraints. They apply the techniques to biomedical images
Keywords :
medical image processing; Bayesian geometrical constraints; Bayesian probability; Markov random field; biomedical image denoising with wavelets; geometrical constraints; medical diagnostic imaging; statistical properties; Bayesian methods; Biomedical imaging; Computer science; Image processing; Information geometry; Markov random fields; Noise reduction; Probability; Solid modeling; Wavelet coefficients;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.415406
