Canham, TrevorVazquez-Corral, JavierMathieu, EliseBertalmío, Marcelo2023-03-012023-03-012021Canham T, Vazquez-Corral J, Mathieu E, Bertalmío M. Matching visual induction effects on screens of different size. J Vis. 2021;21(6):10. DOI: 10.1167/jov.21.6.101534-7362http://hdl.handle.net/10230/55994In the film industry, the same movie is expected to be watched on displays of vastly different sizes, from cinema screens to mobile phones. But visual induction, the perceptual phenomenon by which the appearance of a scene region is affected by its surroundings, will be different for the same image shown on two displays of different dimensions. This phenomenon presents a practical challenge for the preservation of the artistic intentions of filmmakers, because it can lead to shifts in image appearance between viewing destinations. In this work, we show that a neural field model based on the efficient representation principle is able to predict induction effects and how, by regularizing its associated energy functional, the model is still able to represent induction but is now invertible. From this finding, we propose a method to preprocess an image in a screen–size dependent way so that its perception, in terms of visual induction, may remain constant across displays of different size. The potential of the method is demonstrated through psychophysical experiments on synthetic images and qualitative examples on natural images.application/pdfengCopyright 2021, The Authors. This work is licensed under a Creative Commons Attribution 4.0 International License.info:eu-repo/semantics/articlehttp://dx.doi.org/10.1167/jov.21.6.10color perceptionvisual inductionefficient representation principleneural field modelslocal histogram equalizationvariational modelsWilson-Cowan equationsinfo:eu-repo/semantics/openAccess