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Title: Exemplar-based portrait photograph enhancement as informed by portrait paintings
Authors: Constable, Martin
Chan, Kap Luk
Zhang, Xiaoyan
Keywords: DRNTU::Visual arts and music::Painting
Issue Date: 2014
Source: Zhang, X., Constable, M., & Chan, K. L. (2014). Exemplar-based portrait photograph enhancement as informed by portrait paintings. Computer graphics forum, 33(8), 38–51.
Series/Report no.: Computer graphics forum
Abstract: This paper proposes an approach to enhance the regional contrasts in snap-shot style portrait photographs by using pre-modern portrait paintings as aesthetic exemplars. The example portrait painting is selected based on a comparison of the existing contrast properties of the painting with those of the photograph. The contrast organization in the selected example painting is transferred to the photograph by mapping the inter- and intra-regional contrasts of the regions, such as the face and skin areas of the foreground figure, the non-face/skin part of the foreground and the background region. A piecewise non-linear transformation curve is used to achieve the contrast mapping. Finally, the transition boundary between regions is smoothed to achieve the final results. The experimental results and user study demonstrate that, by using this proposed approach, the visual appeal of the portrait photographs is effectively improved, and the face and the figure become more salient.
DOI: 10.1111/cgf.12399
Rights: © The Author(s)(©The Eurographics Association and John Wiley & Sons Ltd). This is the author created version of a work that has been peer reviewed and accepted for publication in Issue Computer Graphics Forum Computer Graphics Forum, published by John Wiley & Sons, on behalf of The Author(s) and The Eurographics Association and John Wiley & Sons Ltd.  It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ADM Journal Articles
EEE Journal Articles
IMI Journal Articles

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