Paper Info
Title
Wavelet Denoising Using A Conjointly Space And 2d Frequency Localized Filterbank
Abstract
This paper proposes the use of a conjointly space-frequency well localized separable 2D quadrature mirror filterbank to the application of wavelet image shrinkage. The novel space-frequency localization measure to determine optimality is the product of a filter's 2D variance in space and 2D frequency variance. The particle swarm optimization method is applied to determine perfect or near perfect reconstruction optimal 2D filterbanks. The experimentation and results shows that the proposed 2D optimized QMF is robust at reducing additive white Gaussian noise for a wide range of threshold parameters.
Year
Venue
Keywords
2018
2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
Wavelet Transform, Quadrature Mirror Filterbank, time-frequency measure
Field
DocType
ISSN
Noise reduction,Particle swarm optimization,Pattern recognition,Computer science,Filter bank,Time–frequency analysis,Artificial intelligence,Frequency modulation,Quadrature (mathematics),Additive white Gaussian noise,Wavelet
Conference
1522-4880
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Peter C. Tay1677.59
Yanjun Yan2309.73