https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2007Fernandez_autAND 2026-05-24T19:52:44Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2007Fernandez_autAND&diff=2007&oldid=prev 2009-09-08T09:05:50Z

<p></p> <p><b>New page</b></p><div>== Citation ==<br /> Fernandez JJ, Li S, Lucic V. Three-dimensional anisotropic noise reduction with automated parameter tuning. Application to electron cryotomography. Lecture Notes in Computer Science, 4788:60-69, 2007. <br /> <br /> == Abstract ==<br /> This article presents an approach for noise filtering that is based on anisotropic nonlinear diffusion. The method combines edge-preserving noise reduction with a strategy to enhance local structures and a mechanism to further smooth the background. We have provided the method with an automatic mechanism for parameter self-tuning and for stopping the iterative filtering process. The performance of the approach is illustrated with its application to electron cryotomography (cryoET). CryoET has emerged as a leading imaging technique for visualizing the molecular architecture of complex biological specimens. A challenging computational task in this discipline is to increase the extremely low signal-to-noise ratio (SNR) to allow visualization and interpretation of the three-dimensional structures. The filtering method here proposed succeeds in substantially reducing the noise with excellent preservation of the structures.<br /> <br /> == Keywords ==<br /> Electron tomography; Denoising; Anisotropic nonlinear diffusion<br /> <br /> == Links ==<br /> Article: http://dx.doi.org/10.1007/978-3-540-75271-4_7<br /> <br /> == Related software ==<br /> [http://www.ual.es/~jjfdez/SW/tomoand.html TOMOAND]<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

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