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dc.contributor.authorWEN, KAen_US
dc.contributor.authorLU, CYen_US
dc.contributor.authorTSAI, MCen_US
dc.date.accessioned2014-12-08T15:03:14Z-
dc.date.available2014-12-08T15:03:14Z-
dc.date.issued1995-08-01en_US
dc.identifier.issn1063-6706en_US
dc.identifier.urihttp://dx.doi.org/10.1109/91.413231en_US
dc.identifier.urihttp://hdl.handle.net/11536/1800-
dc.description.abstractA novel processing scheme for gray level image compression based on the human visual system (HVS) and fuzzy control is proposed. The spatial model of the threshold vision that incorporates the masking processes takes account of two major sensitivities of the human visual system, namely background illumination levels and spatial frequency sensitivities. The distortion measures use common sense fuzzy rules for image quality prediction. The human visual models have been successfully applied in image compression. By the addition of the visual model, performance of these systems have a visible improvement of subject quality depending on visual perception. The processed image performs both improved compression ratio as well as improved SNR (signal to noise ratio) in compression to the standardized still image compression technique, i.e., the JPEG.en_US
dc.language.isoen_USen_US
dc.titleTHE TRANSFORM IMAGE CODEC BASED ON FUZZY CONTROL AND HUMAN VISUAL-SYSTEMen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/91.413231en_US
dc.identifier.journalIEEE TRANSACTIONS ON FUZZY SYSTEMSen_US
dc.citation.volume3en_US
dc.citation.issue3en_US
dc.citation.spage253en_US
dc.citation.epage259en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:A1995RR52000001-
dc.citation.woscount6-
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