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Denoising fluorescence endoscopy - A motion compensated temporal recursive video filter with an optimal minimum mean square error parameterization

Thomas Stehle, Jonas Wulff, Alexander Behrens, Sebastian Gross, Til Aach
2009 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
Dubois and Sabri [2] suggest a simple motion compensated temporal recursive filter for which a real time implementation is achievable, but their approach is rather ad hoc and does not guarantee any optimality  ...  Ephraim and Malah introduced a probabilistic minimum mean squared error (MMSE) approach for the spectral amplitude estimation in the domain of speech processing [3] which exhibits very beneficial properties  ... 
doi:10.1109/isbi.2009.5193047 dblp:conf/isbi/StehleWBGA09 fatcat:p2xhcytkdne6zkeurx62udgdli

CARS 2016—Computer Assisted Radiology and Surgery Proceedings of the 30th International Congress and Exhibition Heidelberg, Germany, June 21–25, 2016

2016 International Journal of Computer Assisted Radiology and Surgery  
., for providing valuable computing resources through an ''AWS in Education Research'' grant.  ...  We propose a fiducial-free motion compensation based on an image sharpness criterion.  ...  An iterative optimization was performed using a nonlinear least square fitting algorithm along with the penalty functions in BE + TV method.  ... 
doi:10.1007/s11548-016-1412-5 pmid:27206418 fatcat:uk5r46n2xvhedkfjzmeiweyneq