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dc.contributor.authorÖktem, R.en_US
dc.contributor.authorÇetin, A. E.en_US
dc.contributor.authorGerek, O. N.en_US
dc.contributor.authorÖktem, L.en_US
dc.contributor.authorEgiazarian, K.en_US
dc.date.accessioned2016-02-08T10:35:52Z
dc.date.available2016-02-08T10:35:52Z
dc.date.issued2001en_US
dc.identifier.issn0165-1684
dc.identifier.urihttp://hdl.handle.net/11693/24897
dc.description.abstractA lossless image compression algorithm based on adaptive subband decomposition is proposed. The subband decomposition is achieved by a two-channel LMS adaptive filter bank. The resulting coefficients are lossy coded first, and then the residual error between the lossy and error-free coefficients is compressed. The locations and the magnitudes of the nonzero coefficients are encoded separately by an hierarchical enumerative coding method. The locations of the nonzero coefficients in children bands are predicted from those in the parent band. The proposed compression algorithm, on the average, provides higher compression ratios than the state-of-the-art methods.en_US
dc.language.isoEnglishen_US
dc.source.titleSignal Processingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/S0165-1684(00)00204-8en_US
dc.subjectAlgorithmsen_US
dc.subjectData structuresen_US
dc.subjectError analysisen_US
dc.subjectHierarchical systemsen_US
dc.subjectImage codingen_US
dc.subjectImage compressionen_US
dc.subjectLeast squares approximationsen_US
dc.subjectAdaptive subband decompositionsen_US
dc.subjectLeast mean square errorsen_US
dc.subjectLossless image compressionsen_US
dc.subjectAdaptive filteringen_US
dc.titleLossless image compression by LMS adaptive filter banksen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage447en_US
dc.citation.epage450en_US
dc.citation.volumeNumber81en_US
dc.citation.issueNumber2en_US
dc.identifier.doi10.1016/S0165-1684(00)00204-8en_US
dc.publisherElsevieren_US


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