Prefilters for Sharp Image Display

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dc.contributor.authorRocha, Luís Cláudio Gouveiaen_US
dc.contributor.authorOliveira, Manuel M.en_US
dc.contributor.authorGastal, Eduardo S. L.en_US
dc.contributor.editorPanozzo, Daniele and Assarsson, Ulfen_US
dc.date.accessioned2020-05-24T12:53:09Z
dc.date.available2020-05-24T12:53:09Z
dc.date.issued2020
dc.description.abstractIn this paper we use a simplified model of the human visual system to explain why humans tend do prefer ''sharpened'' digital images. From this model we then derive a family of image prefilters specifically adapted to viewing conditions and user preference, allowing for the trade-off between ringing and aliasing while maximizing image sharpness. We discuss how our filters can be applied in a variety of situations ranging from Monte Carlo rendering to image downscaling, and we show how they consistently give sharper results while having an efficient implementation and ease of use (there are no free parameters that require manual tuning). We demonstrate the effectiveness of our simple sharp prefilters through a user study that indicates a clear preference to our approach compared to the state-of-the-art.en_US
dc.description.number2
dc.description.sectionheadersImages and Videos
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.13942
dc.identifier.issn1467-8659
dc.identifier.pages435-449
dc.identifier.urihttps://doi.org/10.1111/cgf.13942
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13942
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectComputing methodologies
dc.subjectImage processing
dc.titlePrefilters for Sharp Image Displayen_US
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