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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [47 references]  Display  Hide  Download


https://hal.inria.fr/hal-01795744
Contributor : Isenberg Tobias <>
Submitted on : Friday, May 18, 2018 - 4:48:37 PM
Last modification on : Thursday, April 4, 2019 - 10:54:01 AM
Long-term archiving on : Tuesday, September 25, 2018 - 9:51:33 PM

Files

Besancon_2018_RAR.pdf
Files produced by the author(s)

Identifiers

Citation

Lonni Besançon, Amir Semmo, David Biau, Bruno Frachet, Virginie Pineau, et al.. Reducing Affective Responses to Surgical Images through Color Manipulation and Stylization. Proceedings of the Joint Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering, Aug 2018, Victoria, Canada. pp.4:1--4:13, ⟨10.1145/3229147.3229158⟩. ⟨hal-01795744v1⟩

Share

Metrics

Record views

118

Files downloads

51