Reducing Affective Responses to Surgical Images through Color Manipulation and Stylization

Abstract : We 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.
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Communication dans un congrès
ACM. Proceedings of the Joint Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering, Aug 2018, Victoria, Canada. ACM, pp.4:1-4:13, 〈10.1145/3229147.3229158〉
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Soumis le : mardi 19 juin 2018 - 13:16:23
Dernière modification le : vendredi 28 septembre 2018 - 14:58:11
Document(s) archivé(s) le : jeudi 27 septembre 2018 - 12:06:34

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Lonni Besançon, Amir Semmo, David Biau, Bruno Frachet, Virginie Pineau, et al.. Reducing Affective Responses to Surgical Images through Color Manipulation and Stylization. ACM. Proceedings of the Joint Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering, Aug 2018, Victoria, Canada. ACM, pp.4:1-4:13, 〈10.1145/3229147.3229158〉. 〈hal-01795744v4〉

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