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Single Image Realism Assessment and Recoloring by Color Compatibility
In this paper, we investigate the assessment of image realism by focusing our attention on the color compatibility between an inserted object and the background in an image composite. We propose a technique based on two color compatibility properties to achieve realistic image composition. The first...
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Published in: | IEEE transactions on multimedia 2012-06, Vol.14 (3), p.760-769 |
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container_title | IEEE transactions on multimedia |
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creator | Bing-Yi Wong Kuang-Tsu Shih Chia-Kai Liang Chen, Homer H. |
description | In this paper, we investigate the assessment of image realism by focusing our attention on the color compatibility between an inserted object and the background in an image composite. We propose a technique based on two color compatibility properties to achieve realistic image composition. The first property is related to the color similarity, and the second one to the consistence of color tendency between image regions. We further propose algorithms based on these two properties for image realism assessment and recoloring. These algorithms only require information from the image to be tested, making them suitable for practical applications where real images are unavailable. Effectiveness of the algorithms is demonstrated through various images and verified by ground truth. |
doi_str_mv | 10.1109/TMM.2012.2188997 |
format | article |
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We propose a technique based on two color compatibility properties to achieve realistic image composition. The first property is related to the color similarity, and the second one to the consistence of color tendency between image regions. We further propose algorithms based on these two properties for image realism assessment and recoloring. These algorithms only require information from the image to be tested, making them suitable for practical applications where real images are unavailable. Effectiveness of the algorithms is demonstrated through various images and verified by ground truth.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Clustering algorithms</subject><subject>Color compatibility</subject><subject>color similarity</subject><subject>color tendency</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Focusing</subject><subject>Gaussian distribution</subject><subject>Humans</subject><subject>Image color analysis</subject><subject>image composition</subject><subject>image realism</subject><subject>image recoloring</subject><subject>Indexes</subject><subject>Pattern recognition. Digital image processing. 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Digital image processing. Computational geometry</topic><topic>Poisson equations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bing-Yi Wong</creatorcontrib><creatorcontrib>Kuang-Tsu Shih</creatorcontrib><creatorcontrib>Chia-Kai Liang</creatorcontrib><creatorcontrib>Chen, Homer H.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>IEEE transactions on multimedia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bing-Yi Wong</au><au>Kuang-Tsu Shih</au><au>Chia-Kai Liang</au><au>Chen, Homer H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Single Image Realism Assessment and Recoloring by Color Compatibility</atitle><jtitle>IEEE transactions on multimedia</jtitle><stitle>TMM</stitle><date>2012-06-01</date><risdate>2012</risdate><volume>14</volume><issue>3</issue><spage>760</spage><epage>769</epage><pages>760-769</pages><issn>1520-9210</issn><eissn>1941-0077</eissn><coden>ITMUF8</coden><abstract>In this paper, we investigate the assessment of image realism by focusing our attention on the color compatibility between an inserted object and the background in an image composite. We propose a technique based on two color compatibility properties to achieve realistic image composition. The first property is related to the color similarity, and the second one to the consistence of color tendency between image regions. We further propose algorithms based on these two properties for image realism assessment and recoloring. These algorithms only require information from the image to be tested, making them suitable for practical applications where real images are unavailable. Effectiveness of the algorithms is demonstrated through various images and verified by ground truth.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TMM.2012.2188997</doi><tpages>10</tpages></addata></record> |
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subjects | Applied sciences Artificial intelligence Clustering algorithms Color compatibility color similarity color tendency Computer science control theory systems Exact sciences and technology Focusing Gaussian distribution Humans Image color analysis image composition image realism image recoloring Indexes Pattern recognition. Digital image processing. Computational geometry Poisson equations |
title | Single Image Realism Assessment and Recoloring by Color Compatibility |
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