How to make a #theDress
Authors: Witzel, C. and Toscani, M.
Journal: Journal of the Optical Society of America A: Optics and Image Science, and Vision
Volume: 37
Issue: 4
Pages: A202-A211
eISSN: 1520-8532
ISSN: 1084-7529
DOI: 10.1364/JOSAA.381311
Abstract:If we completely understand how a phenomenon works, we should be able to produce it ourselves. However, the individual differences in color appearance observed with #theDress seem to be a peculiarity of that photo, and it remains unclear how the proposed mechanisms underlying #theDress can be generalized to other images. Here, we developed a simple algorithm that transforms any image with bicolored objects into an image with the properties of #theDress. We measured the colors perceived in such images and compared them to those perceived in #theDress. Color adjustments confirmed that observers strongly differ in how they perceive the colors of the new images in a similar way as for #theDress. Most importantly, these differences were not unsystematic, but correlated with how observers perceive #theDress. These results imply that the color distribution is sufficient to produce the striking individual differences in color perception originally observed with #theDress—at least as long as the image appears realistic and hence compels the viewer to make assumptions about illuminations and surfaces. The algorithm can be used for stimulus production beyond this study.
Source: Scopus
How to make a #theDress.
Authors: Witzel, C. and Toscani, M.
Journal: J Opt Soc Am A Opt Image Sci Vis
Volume: 37
Issue: 4
Pages: A202-A211
eISSN: 1520-8532
DOI: 10.1364/JOSAA.381311
Abstract:If we completely understand how a phenomenon works, we should be able to produce it ourselves. However, the individual differences in color appearance observed with #theDress seem to be a peculiarity of that photo, and it remains unclear how the proposed mechanisms underlying #theDress can be generalized to other images. Here, we developed a simple algorithm that transforms any image with bicolored objects into an image with the properties of #theDress. We measured the colors perceived in such images and compared them to those perceived in #theDress. Color adjustments confirmed that observers strongly differ in how they perceive the colors of the new images in a similar way as for #theDress. Most importantly, these differences were not unsystematic, but correlated with how observers perceive #theDress. These results imply that the color distribution is sufficient to produce the striking individual differences in color perception originally observed with #theDress-at least as long as the image appears realistic and hence compels the viewer to make assumptions about illuminations and surfaces. The algorithm can be used for stimulus production beyond this study.
Source: PubMed
How to make a #theDress
Authors: Witzel, C. and Toscani, M.
Journal: JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
Volume: 37
Issue: 4
Pages: A202-A211
eISSN: 1520-8532
ISSN: 1084-7529
DOI: 10.1364/JOSAA.381311
Source: Web of Science (Lite)
How to make a #theDress.
Authors: Witzel, C. and Toscani, M.
Journal: Journal of the Optical Society of America. A, Optics, image science, and vision
Volume: 37
Issue: 4
Pages: A202-A211
eISSN: 1520-8532
ISSN: 1084-7529
DOI: 10.1364/josaa.381311
Abstract:If we completely understand how a phenomenon works, we should be able to produce it ourselves. However, the individual differences in color appearance observed with #theDress seem to be a peculiarity of that photo, and it remains unclear how the proposed mechanisms underlying #theDress can be generalized to other images. Here, we developed a simple algorithm that transforms any image with bicolored objects into an image with the properties of #theDress. We measured the colors perceived in such images and compared them to those perceived in #theDress. Color adjustments confirmed that observers strongly differ in how they perceive the colors of the new images in a similar way as for #theDress. Most importantly, these differences were not unsystematic, but correlated with how observers perceive #theDress. These results imply that the color distribution is sufficient to produce the striking individual differences in color perception originally observed with #theDress-at least as long as the image appears realistic and hence compels the viewer to make assumptions about illuminations and surfaces. The algorithm can be used for stimulus production beyond this study.
Source: Europe PubMed Central