Content-Based Colour Transfer

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dc.contributor.authorWu, Fuzhangen_US
dc.contributor.authorDong, Weimingen_US
dc.contributor.authorKong, Yanen_US
dc.contributor.authorMei, Xingen_US
dc.contributor.authorPaul, Jean-Claudeen_US
dc.contributor.authorZhang, Xiaopengen_US
dc.contributor.editorHolly Rushmeier and Oliver Deussenen_US
dc.date.accessioned2015-02-28T15:16:49Z
dc.date.available2015-02-28T15:16:49Z
dc.date.issued2013en_US
dc.description.abstractThis paper presents a novel content-based method for transferring the colour patterns between images. Unlike previous methods that rely on image colour statistics, our method puts an emphasis on high-level scene content analysis. We first automatically extract the foreground subject areas and background scene layout from the scene. The semantic correspondences of the regions between source and target images are established. In the second step, the source image is re-coloured in a novel optimization framework, which incorporates the extracted content information and the spatial distributions of the target colour styles. A new progressive transfer scheme is proposed to integrate the advantages of both global and local transfer algorithms, as well as avoid the over-segmentation artefact in the result. Experiments show that with a better understanding of the scene contents, our method well preserves the spatial layout, the colour distribution and the visual coherence in the transfer process. As an interesting extension, our method can also be used to re-colour video clips with spatially-varied colour effects.This paper presents a novel content-based method for transferring the colour patterns between images. Unlike previous methods that rely on image colour statistics, our method puts an emphasis on high level scene content analysis. We first automatically extract the foreground subject areas and background scene layout from the scene. The semantic correspondences of the regions between source and target images are established. In the second step, the source image is re-coloured in a novel optimization framework, which incorporates the extracted content information and the spatial distributions of the target colour styles.en_US
dc.description.number1
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume32
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12008en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectComputing methodologiesen_US
dc.subjectImage processingen_US
dc.subjectcolor transferen_US
dc.subjectscene content analysisen_US
dc.subjectprogressive transferen_US
dc.titleContent-Based Colour Transferen_US
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