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A new method for denoising video sequences is presented. The method is able to deal with poor quality sequences affected by both noise and compression, as for example mobile phone videos recorded in low light conditions. This algorithm takes advantage of self similarity and redundancy of adjacent frames and uses motion compensation by regularized optical flow methods, which permits robust patch comparison in a spatio-temporal volume.
This presentation is part of Minisymposium “MS14 - Denoising in Photography and Video (2 parts)”
organized by: Stacey Levine (Duquesne University) , Marcelo Bertalmío (University Pompeu Fabra) .