Low-complexity approximation of 8-point discrete cosine transform for image compression

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dc.contributor.authorPuchała, Dariusz
dc.contributor.authorStokfiszewski, Kamil
dc.date.accessioned2015-06-03T11:16:01Z
dc.date.available2015-06-03T11:16:01Z
dc.date.issued2012
dc.description.abstractIn this paper the authors propose a new low-complexity approximation of 8-point discrete cosine transform (DCT) that requires 18 additions and two bit-shift operations. It is shown that the proposed transform outperforms significantly the known transform of the same computational complexity when applied to a JPEG compression stream in practical cases of encoding and decoding of still images. As such, the proposed transform can be effectively used in any practical applications where significant limitations exist regarding the computational capabilities coding and / or decoding devices, i.e. mobile devices or industrial imaging devices.en_EN
dc.formatapplication/pdf
dc.identifier.citationJournal of Applied Computer Science., 2012 Vol.20 nr 2 s.107-117
dc.identifier.issn1507-0360
dc.identifier.other0000039981
dc.identifier.urihttp://hdl.handle.net/11652/465
dc.language.isoen
dc.publisherWydawnictwo Politechniki Łódzkiejpl_PL
dc.publisherLodz University of Technology. Pressen_EN
dc.relation.ispartofseriesJournal of Applied Computer Science., 2012 Vol.20 nr 2en_EN
dc.titleLow-complexity approximation of 8-point discrete cosine transform for image compression
dc.typeArtykuł

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