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dc.contributor.authorBesançon, Lonnien_US
dc.contributor.authorSemmo, Amiren_US
dc.contributor.authorBiau, Daviden_US
dc.contributor.authorFrachet, Brunoen_US
dc.contributor.authorPineau, Virginieen_US
dc.contributor.authorSariali, El Hadien_US
dc.contributor.authorTaouachi, Rabahen_US
dc.contributor.authorIsenberg, Tobiasen_US
dc.contributor.authorDragicevic, Pierreen_US
dc.contributor.editorAydın, Tunç and Sýkora, Danielen_US
dc.date.accessioned2018-11-10T20:57:07Z
dc.date.available2018-11-10T20:57:07Z
dc.date.issued2018
dc.identifier.isbn978-1-4503-5892-7
dc.identifier.issn2079-8679
dc.identifier.urihttps://doi.org/10.1145/3229147.3229158
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1145/3229147-3229158
dc.description.abstractWe present the first empirical study on using color manipulation and stylization to make surgery images more palatable. While aversion to such images is natural, it limits many people's ability to satisfy their curiosity, educate themselves, and make informed decisions. We selected a diverse set of image processing techniques, and tested them both on surgeons and lay people. While many artistic methods were found unusable by surgeons, edge-preserving image smoothing gave good results both in terms of preserving information (as judged by surgeons) and reducing repulsiveness (as judged by lay people). Color manipulation turned out to be not as effective.en_US
dc.publisherACMen_US
dc.titleReducing Affective Responses to Surgical Images through Color Manipulation and Stylizationen_US
dc.description.seriesinformationExpressive: Computational Aesthetics, Sketch-Based Interfaces and Modeling, Non-Photorealistic Animation and Rendering
dc.description.sectionheadersStylization Before and Now
dc.identifier.doi10.1145/3229147.3229158


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