Video denoising by fuzzy directional filter using the DSP EVM DM642

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Abstract

We present a new 3D Fuzzy Directional (3D-FD) algorithm for the denoising of video colour sequences corrupted by impulsive noise. The proposed approach consists of the estimations of movement levels, noise in the neighborhood video frames, permitting to preserve the edges, fine details and chromaticity characteristics in video sequences. Experimental results show that the noise in these sequences can be efficiently removed by the proposed 3D-FD filter, and that the method outperforms other state of the art filters of comparable complexity on video sequences. Finally, hardware requirements are evaluated permitting real time implementation on DSP EVM DM642. © 2009 Springer-Verlag Berlin Heidelberg.
Original languageAmerican English
Title of host publicationVideo denoising by fuzzy directional filter using the DSP EVM DM642
Pages997-1004
Number of pages896
ISBN (Electronic)3642102670, 9783642102677
DOIs
StatePublished - 1 Dec 2009
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2014 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5856 LNCS
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/14 → …

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Gallegos-Funes, F. J., Kravchenko, V., Ponomaryov, V., & Rosales-Silva, A. (2009). Video denoising by fuzzy directional filter using the DSP EVM DM642. In Video denoising by fuzzy directional filter using the DSP EVM DM642 (pp. 997-1004). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5856 LNCS). https://doi.org/10.1007/978-3-642-10268-4_116