Paper Info
Title
3D Filtering of Colour Video Sequences Using Fuzzy Logic and Vector Order Statistics
Abstract
Novel approach designed in this paper permits the suppression of impulsive noise in multichannel video sequences. It employs the fuzzy logic and vector order statistic methods to detect motion and noise presence during spatial-temporal processing neighbouring video frames, preserving the edges, fine details, as well as colour properties. Numerous simulation results have justified it excellent performance in terms of objective criteria: Pick Signal-to-Noise Ratio (PSNR), Mean Absolute Error (MAE) and Normalized Colour Difference (NCD), as well as in subjective perception by human viewer.
Year
DOI
Venue
2009
10.1007/978-3-642-04697-1_20
ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS
Keywords
Field
DocType
order statistic,fuzzy logic,signal to noise ratio,numerical simulation,impulse noise,mean absolute error
Computer vision,Normalization (statistics),Pattern recognition,Computer science,Fuzzy logic,Mean absolute error,Filter (signal processing),Artificial intelligence,Order statistic,Perception
Conference
Volume
ISSN
Citations 
5807
0302-9743
4
PageRank 
References 
Authors
0.38
16
3
Name
Order
Citations
PageRank
Volodymyr I. Ponomaryov112418.38
Alberto Rosales-Silva2486.77
Francisco J. Gallegos Funes36310.29