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dc.contributor.authorBhardwaj, Aditen_US
dc.contributor.authorRaman, Shanmuganathanen_US
dc.contributor.editorMathias Paulin and Carsten Dachsbacheren_US
dc.date.accessioned2014-12-16T07:10:00Z
dc.date.available2014-12-16T07:10:00Z
dc.date.issued2014en_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttp://dx.doi.org/10.2312/egp.20141061en_US
dc.description.abstractWe consider the High Dynamic Range (HDR) imaging problem for real world scenes. We can change either the exposure time or the aperture while capturing multiple images of the scene to generate an HDR image. This paper addresses the HDR imaging problem for static and dynamic scenes when we do not have any knowledge of the camera settings. We have proposed a novel threshold for Augmented Lagrange Multipliers (ALM) framework which enables us to process the images getting rid of artifacts due to moving objects and defocus blur.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.3 [Image Processing and Computer Vision]en_US
dc.subjectEnhancementen_US
dc.subjectFilteringen_US
dc.subjectI.4.8 [Image Processing and Computer Vision]en_US
dc.subjectScene Analysisen_US
dc.subjectMotionen_US
dc.titleHDR Imaging Using Augmented Lagrange Multipliers (ALM)en_US
dc.description.seriesinformationEurographics 2014 - Postersen_US


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