Optimization Method to Reduce Blocking Artifacts in JPEG Images

dc.contributor.ISNI0000 0001 1724 5897 (Kehtarnavaz, N)en_US
dc.contributor.LCNA00001559 (Kehtarnavaz, N)en_US
dc.contributor.VIAF166234961 (Kehtarnavaz, N)en_US
dc.contributor.authorPourreza-Shahri, Rezaen_US
dc.contributor.authorYousefi, S.en_US
dc.contributor.authorKehtarnavaz, Nasseren_US
dc.date.accessioned2015-02-19T17:44:42Z
dc.date.available2015-02-19T17:44:42Z
dc.date.created2014-12-29
dc.description.abstractThis paper presents an optimization method to reduce blocking artifacts in JPEG images by utilizing the image gradient information. A closed-form solution is derived for the optimization method. To address the computational feasibility aspect of the large matrices involved in the closed-form solution, a sliding window approach is devised. The performance of the developed method is compared with several blocking artifacts reduction methods in the literature and also with the deblocking filter deployed in high efficiency video coding by examining the three measures of peak signal-to-noise ratio, generalized block-edge impairment metric (MGBIM), and structural similarity. The comparison results indicate the effectiveness of the introduced method in particular for low bit-rate JPEG images.en_US
dc.identifier.citationPourreza-Shahri, R., S. Yousefi, and N. Kehtarnavaz. 2014. "Optimization method to reduce blocking artifacts in JPEG images." Journal of Electronic Imaging 23(6): 063023.en_US
dc.identifier.issn1017-9909en_US
dc.identifier.issue6en_US
dc.identifier.urihttp://hdl.handle.net/10735.1/4332
dc.identifier.volume23en_US
dc.language.isoenen_US
dc.publisherSPIEen_US
dc.relation.urihttp://dx.doi.org/10.1117/1.JEI.23.6.063023en_US
dc.rights©2014 SPIE and IS&Ten_US
dc.source.journalJournal of Electronic Imagingen_US
dc.subjectBlocking artifactsen_US
dc.subjectDigital imagesen_US
dc.subjectJPEG (Image coding standard)en_US
dc.subjectImage compressionen_US
dc.subjectOptimizationen_US
dc.titleOptimization Method to Reduce Blocking Artifacts in JPEG Imagesen_US
dc.type.genrearticleen_US

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