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Robust Estimation of Motion Blur Kernel Using a Piecewise-Linear Model

contributor authorSungchan Oh
contributor authorGyeonghwan Kim
date accessioned2020-03-12T18:43:28Z
date available2020-03-12T18:43:28Z
date issued2014
identifier issn1057-7149
identifier other6728631.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/968197?show=full
formatgeneral
languageEnglish
publisherIEEE
titleRobust Estimation of Motion Blur Kernel Using a Piecewise-Linear Model
typeJournal Paper
contenttypeMetadata Only
identifier padid8002283
subject keywordsimage denoising
subject keywordsimage reconstruction
subject keywordsimage representation
subject keywordsimage restoration
subject keywordsmotion estimation
subject keywords2D parametric curve approximation
subject keywordsbenchmark data set
subject keywordsdeblurred image quality
subject keywordsdegree of freedom
subject keywordsdiscrete 2D function
subject keywordsgeneric model
subject keywordshigh-DOF
subject keywordsimage deblurring process
subject keywordsimage noise robustness
subject keywordslow-DOF
subject keywordspiecewise-linear model
subject keywordsreal-world images
subject keywordsrobust motion blur kernel estimation
subject keywordssingle-exposure image representation
subject keywordsCameras
subject keywordsDeconvolution
subject keywordsEstimation
subject keywordsKernel
subject keywordsNoise
subject keywordsRobustness
subject keywordsVectors
subject keywordsDeblu
identifier doi10.1109/TIP.2014.2303637
journal titleImage Processing, IEEE Transactions on
journal volume23
journal issue3
filesize7533833
citations0


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