Noise suppression in video sequences applying fuzzy vectorial directional algorithms

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The usage of spatial-temporal information is more efficient than just their usage in a separate way. It has been designed a new fuzzy logic adaptive scheme applying directional and fuzzy processing technique with motion detection and spatialtemporal filtering of video sequences. The proposed method can distinguish the uniform regions, edges and details features in the images decreasing the processing time charges, taking only in account the samples, which demonstrate high level of corruption or motion. The algorithm runs adapting spatial-temporal information to smooth an additive noise. The non-stationary noise, which left after temporal algorithm, is removed employing a magnitude algorithm that is adapted using parameters obtained during the filtering. The designed algorithm is compared with other filters found in literature, showing the effectiveness of proposed fuzzy logic filtering approach.

Original languageEnglish
Title of host publicationReal-Time Image Processing 2008
DOIs
StatePublished - 2008
EventReal-Time Image Processing 2008 - San Jose, CA, United States
Duration: 28 Jan 200829 Jan 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6811
ISSN (Print)0277-786X

Conference

ConferenceReal-Time Image Processing 2008
Country/TerritoryUnited States
CitySan Jose, CA
Period28/01/0829/01/08

Keywords

  • Denoising of the sequences
  • Fuzzy logic
  • Motion estimation

Fingerprint

Dive into the research topics of 'Noise suppression in video sequences applying fuzzy vectorial directional algorithms'. Together they form a unique fingerprint.

Cite this