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Reducing Artifacts in JPEG Decompression Via a Learned Dictionary

contributor authorHuibin Chang
contributor authorNg, Michael K.
contributor authorTieyong Zeng
date accessioned2020-03-12T18:32:29Z
date available2020-03-12T18:32:29Z
date issued2014
identifier issn1053-587X
identifier other6658879.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/961906?show=full
formatgeneral
languageEnglish
publisherIEEE
titleReducing Artifacts in JPEG Decompression Via a Learned Dictionary
typeJournal Paper
contenttypeMetadata Only
identifier padid7994779
subject keywordsdata compression
subject keywordsdictionaries
subject keywordsimage coding
subject keywordslearning (artificial intelligence)
subject keywordsGibbs artifacts
subject keywordsJPEG decompression
subject keywordsartifact reduction
subject keywordsblocking artifacts
subject keywordscompression ratio
subject keywordsdictionary learning
subject keywordsredundant representation
subject keywordssparse representation
subject keywordstotal variation regularization
subject keywordsweighted total variation decompression
subject keywordsDictionaries
subject keywordsEducational institutions
subject keywordsImage coding
subject keywordsImage restoration
subject keywordsSignal processing algorithms
subject keywordsTransform coding
subject keywordsVectors
subject keywordsJPEG
subject keywordsdecompression
subject keywordslearned dictionary
subject keywordsprimal-du
identifier doi10.1109/TSP.2013.2290508
journal titleSignal Processing, IEEE Transactions on
journal volume62
journal issue3
filesize7806589
citations0


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