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Comparison of self-adaptive particle swarm optimizers

Author:
van Zyl, E.
,
Engelbrecht, A.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICME.2014.6890198
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1084561
Keyword(s): ISO standards,n cameras,n image denoising,n image restoration,n NLF,n auto-denoising algorithm,n blind restoration,n cameras,n image denoising,n image prior,n latent image estimation,n low-rank based modeling,n low-rank methods,n noise estimation,n noise level function estimation,n noise variance estimation,n signal-dependent noise,n singular-value thresholding technique,n spatially inhomogeneous noise,n threshold-regularization parameter
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    Comparison of self-adaptive particle swarm optimizers

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contributor authorvan Zyl, E.
contributor authorEngelbrecht, A.
date accessioned2020-03-12T22:29:00Z
date available2020-03-12T22:29:00Z
date issued2014
identifier other7011775.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1084561?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleComparison of self-adaptive particle swarm optimizers
typeConference Paper
contenttypeMetadata Only
identifier padid8221851
subject keywordsISO standards
subject keywordsn cameras
subject keywordsn image denoising
subject keywordsn image restoration
subject keywordsn NLF
subject keywordsn auto-denoising algorithm
subject keywordsn blind restoration
subject keywordsn cameras
subject keywordsn image denoising
subject keywordsn image prior
subject keywordsn latent image estimation
subject keywordsn low-rank based modeling
subject keywordsn low-rank methods
subject keywordsn noise estimation
subject keywordsn noise level function estimation
subject keywordsn noise variance estimation
subject keywordsn signal-dependent noise
subject keywordsn singular-value thresholding technique
subject keywordsn spatially inhomogeneous noise
subject keywordsn threshold-regularization parameter
identifier doi10.1109/ICME.2014.6890198
journal titlewarm Intelligence (SIS), 2014 IEEE Symposium on
filesize368220
citations0
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