Reducing affective responses to surgical images through color manipulation and stylization

@article{Besanon2018ReducingAR,
  title={Reducing affective responses to surgical images through color manipulation and stylization},
  author={Lonni Besançon and Amir Semmo and David Biau and Bruno Frachet and Virginie Pineau and El Hadi Sariali and Rabah Taouachi and Tobias Isenberg and Pierre Dragicevic},
  journal={Proceedings of the Joint Symposium on Computational Aesthetics and Sketch-Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering},
  year={2018}
}
  • Lonni Besançon, Amir Semmo, +6 authors Pierre Dragicevic
  • Published 2018
  • Computer Science, Psychology
  • Proceedings of the Joint Symposium on Computational Aesthetics and Sketch-Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering
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… Expand
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