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Fuzzy logic recursive motion detection and denoising of video sequences.

, , , , and . J. Electronic Imaging, 15 (2): 023008 (2006)

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Noise estimation for video processing based on spatio-temporal gradients., , and . IEEE Signal Process. Lett., 13 (6): 337-340 (2006)Video denoising by fuzzy motion and detail adaptive averaging., , , , , , , and . J. Electronic Imaging, 17 (4): 043005 (2008)Fuzzy logic recursive change detection for tracking and denoising of video sequences., , , , , and . Electronic Imaging: Image and Video Communications and Processing, volume 5685 of SPIE Proceedings, SPIE, (2005)Feature Selection for Neural-Network Based No-Reference Video Quality Assessment., , , , and . ICANN (2), volume 5769 of Lecture Notes in Computer Science, page 633-642. Springer, (2009)Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure., , , , , , , and . Comput. Biol. Medicine, (2019)Salient Motion Features for Video Quality Assessment., , , , , and . IEEE Trans. Image Process., 20 (4): 948-958 (2011)A testing methodology and system for functional verification of general HbbTV device., , , , and . ICCE, page 325-326. IEEE, (2012)Wavelet-Domain Video Denoising Based on Reliability Measures., , and . IEEE Trans. Circuits Syst. Video Techn., 16 (8): 993-1007 (2006)Recursive temporal denoising and motion estimation of video., , and . ICIP, page 1465-1468. IEEE, (2004)Skeletonization method for vessel delineation of arteriovenous malformation., , , , , , , and . Comput. Biol. Medicine, (2018)