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Pàgina inicial > Articles > Articles publicats > Matching visual induction effects on screens of different size |
Data: | 2021 |
Resum: | In 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. |
Ajuts: | European Commission 761544 European Commission 780470 Agencia Estatal de Investigación PGC2018-099651-B-I00 Agencia Estatal de Investigación PID2019-109628RJ-I00 |
Drets: | Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. |
Llengua: | Anglès |
Document: | Article ; recerca ; Versió publicada |
Matèria: | Color perception ; Visual induction ; Efficient representation principle ; Neural field models ; Local histogram equalization ; Variational models ; Wilson-Cowan equations |
Publicat a: | Journal of Vision, Vol. 21, Issue 6 (June 2021) , art. 10, ISSN 1534-7362 |
22 p, 2.2 MB |