Example-based contrast enhancement for portrait photograph

This paper proposes an approach whereby the regional contrasts in snap-shot style portrait photographs are enhanced using pre-modern portrait paintings as aesthetic exemplars. The reference portrait painting is selected based on a comparison of the existing contrast properties of the painting and th...

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Main Authors: Chan, K. L., Zhang, Xiaoyan, Constable, Martin
Other Authors: School of Art, Design and Media
Format: Conference Paper
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/99410
http://hdl.handle.net/10220/12889
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6460290&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6460290
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author Chan, K. L.
Zhang, Xiaoyan
Constable, Martin
author2 School of Art, Design and Media
author_facet School of Art, Design and Media
Chan, K. L.
Zhang, Xiaoyan
Constable, Martin
author_sort Chan, K. L.
collection NTU
description This paper proposes an approach whereby the regional contrasts in snap-shot style portrait photographs are enhanced using pre-modern portrait paintings as aesthetic exemplars. The reference portrait painting is selected based on a comparison of the existing contrast properties of the painting and the photograph. The contrast style in the selected reference painting is transferred to the photograph by mapping the inter-and intra-regional contrast of the regions, such as the face and skin area, reminder part of figure, and non-figure region. A novel two-part partial contrast stretching method is proposed to achieve the contrast mapping. Finally, the transition boundary between regions is smoothed and the non-figure region is blurred. The experiment results demonstrate the effectiveness of the proposed method.
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spelling ntu-10356/994102019-12-06T20:06:55Z Example-based contrast enhancement for portrait photograph Chan, K. L. Zhang, Xiaoyan Constable, Martin School of Art, Design and Media School of Electrical and Electronic Engineering International Conference on Pattern Recognition (21st : 2012 : Tsukuba, Japan) This paper proposes an approach whereby the regional contrasts in snap-shot style portrait photographs are enhanced using pre-modern portrait paintings as aesthetic exemplars. The reference portrait painting is selected based on a comparison of the existing contrast properties of the painting and the photograph. The contrast style in the selected reference painting is transferred to the photograph by mapping the inter-and intra-regional contrast of the regions, such as the face and skin area, reminder part of figure, and non-figure region. A novel two-part partial contrast stretching method is proposed to achieve the contrast mapping. Finally, the transition boundary between regions is smoothed and the non-figure region is blurred. The experiment results demonstrate the effectiveness of the proposed method. 2013-08-02T04:37:48Z 2019-12-06T20:06:55Z 2013-08-02T04:37:48Z 2019-12-06T20:06:55Z 2012 2012 Conference Paper https://hdl.handle.net/10356/99410 http://hdl.handle.net/10220/12889 http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6460290&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6460290 en
spellingShingle Chan, K. L.
Zhang, Xiaoyan
Constable, Martin
Example-based contrast enhancement for portrait photograph
title Example-based contrast enhancement for portrait photograph
title_full Example-based contrast enhancement for portrait photograph
title_fullStr Example-based contrast enhancement for portrait photograph
title_full_unstemmed Example-based contrast enhancement for portrait photograph
title_short Example-based contrast enhancement for portrait photograph
title_sort example based contrast enhancement for portrait photograph
url https://hdl.handle.net/10356/99410
http://hdl.handle.net/10220/12889
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6460290&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6460290
work_keys_str_mv AT chankl examplebasedcontrastenhancementforportraitphotograph
AT zhangxiaoyan examplebasedcontrastenhancementforportraitphotograph
AT constablemartin examplebasedcontrastenhancementforportraitphotograph