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An automatic selective color transfer algorithm for images

Published: 21 March 2011 Publication History

Abstract

Most color transfer algorithms focus on how to transfer the entire color attributes between images. Rarely, do color transfer algorithms select appropriate colors to transfer on images by analyzing image color discrepancies. This article proposes an Automatic Selective Color Transfer (ASCT) algorithm between images by utilizing the image quality factor measuring skills. The ASCT algorithm enhances Reinhard's algorithm (2001) by applying covariance and weight control as well as incorporates Gaussian membership function, and the digital image quality factor. The ASCT algorithm resolves the over color transfer problem of the previous algorithms. This article uses 4 test models to demonstrate how the algorithm operates. Experimental results show that the ASCT algorithm can automatically transfer a portion of one's image color mood to another image without any user intervention.

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Cited By

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  • (2023)A software test bed for sharing and evaluating color transfer algorithms for images and 3D objectsProceedings of the 20th ACM SIGGRAPH European Conference on Visual Media Production10.1145/3626495.3626509(1-10)Online publication date: 30-Nov-2023
  • (2022)User-Specified Image Color TransferInternational Journal of Pattern Recognition and Artificial Intelligence10.1142/S021800142254010636:05Online publication date: 31-Mar-2022
  • (2019)Color Transfer Based on Visual SaliencyAdvances in Graphic Communication, Printing and Packaging10.1007/978-981-13-3663-8_32(227-232)Online publication date: 30-Mar-2019
  • Show More Cited By

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cover image ACM Conferences
SAC '11: Proceedings of the 2011 ACM Symposium on Applied Computing
March 2011
1868 pages
ISBN:9781450301138
DOI:10.1145/1982185
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 21 March 2011

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  1. color correction
  2. color transfer algorithm

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SAC'11
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SAC'11: The 2011 ACM Symposium on Applied Computing
March 21 - 24, 2011
TaiChung, Taiwan

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

View all
  • (2023)A software test bed for sharing and evaluating color transfer algorithms for images and 3D objectsProceedings of the 20th ACM SIGGRAPH European Conference on Visual Media Production10.1145/3626495.3626509(1-10)Online publication date: 30-Nov-2023
  • (2022)User-Specified Image Color TransferInternational Journal of Pattern Recognition and Artificial Intelligence10.1142/S021800142254010636:05Online publication date: 31-Mar-2022
  • (2019)Color Transfer Based on Visual SaliencyAdvances in Graphic Communication, Printing and Packaging10.1007/978-981-13-3663-8_32(227-232)Online publication date: 30-Mar-2019
  • (2011)Caricature generation with different stylesJournal of Multimedia10.4304/jmm.6.4.384-3916:4Online publication date: 1-Aug-2011

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