Compact Image Coding from Multiscale Edges

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dc.contributor.authorDalbegue, S.en_US
dc.contributor.authorBaras, John S.en_US
dc.contributor.authorSidiropoulos, N.en_US
dc.contributor.departmentISRen_US
dc.contributor.departmentCSHCNen_US
dc.date.accessioned2007-05-23T10:06:28Z
dc.date.available2007-05-23T10:06:28Z
dc.date.issued1998en_US
dc.description.abstractIn this paper we investigate image compression from a perceptual viewpoint. We develop a detailed image compression scheme usingmultiscale edges of the image, based on wavelet maximarepresentations. We also develop a detailed implementation of theHuman Visual System (HVS) performance evaluation model. The HVSmodel includes all key components of the physiological human visual model,and it provides a performance evaluation of image compression linked toperceptual criteria. Using the HVS we show that image compressionbased on multiscale edges gives results inferior to standard schemessuch as JPEG.en_US
dc.format.extent451849 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5986
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1998-61en_US
dc.relation.ispartofseriesCSHCN; TR 1998-15en_US
dc.subjectImage Compressionen_US
dc.subjectPerceptual Metricsen_US
dc.subjectWavelet Maximaen_US
dc.subjectHuman Visual System,en_US
dc.titleCompact Image Coding from Multiscale Edgesen_US
dc.typeTechnical Reporten_US

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