%0 Journal Article %1 Kee28112011 %A Kee, Eric %A Farid, Hany %D 2011 %J Proceedings of the National Academy of Sciences %K filtering image_processing %R 10.1073/pnas.1110747108 %T A perceptual metric for photo retouching %U http://www.pnas.org/content/early/2011/11/21/1110747108.abstract %X In recent years, advertisers and magazine editors have been widely criticized for taking digital photo retouching to an extreme. Impossibly thin, tall, and wrinkle- and blemish-free models are routinely splashed onto billboards, advertisements, and magazine covers. The ubiquity of these unrealistic and highly idealized images has been linked to eating disorders and body image dissatisfaction in men, women, and children. In response, several countries have considered legislating the labeling of retouched photos. We describe a quantitative and perceptually meaningful metric of photo retouching. Photographs are rated on the degree to which they have been digitally altered by explicitly modeling and estimating geometric and photometric changes. This metric correlates well with perceptual judgments of photo retouching and can be used to objectively judge by how much a retouched photo has strayed from reality.

@article{Kee28112011, abstract = {In recent years, advertisers and magazine editors have been widely criticized for taking digital photo retouching to an extreme. Impossibly thin, tall, and wrinkle- and blemish-free models are routinely splashed onto billboards, advertisements, and magazine covers. The ubiquity of these unrealistic and highly idealized images has been linked to eating disorders and body image dissatisfaction in men, women, and children. In response, several countries have considered legislating the labeling of retouched photos. We describe a quantitative and perceptually meaningful metric of photo retouching. Photographs are rated on the degree to which they have been digitally altered by explicitly modeling and estimating geometric and photometric changes. This metric correlates well with perceptual judgments of photo retouching and can be used to objectively judge by how much a retouched photo has strayed from reality.}, added-at = {2013-03-21T13:23:24.000+0100}, author = {Kee, Eric and Farid, Hany}, biburl = {https://www.bibsonomy.org/bibtex/276601aba9d7863cca4baa980df411ae2/alex_ruff}, description = {A perceptual metric for photo retouching}, doi = {10.1073/pnas.1110747108}, eprint = {http://www.pnas.org/content/early/2011/11/21/1110747108.full.pdf+html}, interhash = {74fc0d3fe926169525e57d7b0267f8e1}, intrahash = {76601aba9d7863cca4baa980df411ae2}, journal = {Proceedings of the National Academy of Sciences}, keywords = {filtering image_processing}, timestamp = {2013-03-21T13:23:24.000+0100}, title = {A perceptual metric for photo retouching}, url = {http://www.pnas.org/content/early/2011/11/21/1110747108.abstract}, year = 2011 }