Colour Mapping: A Review of Recent Methods, Extensions and Applications

Simple item page
dc.contributor.authorFaridul, H. Sheikhen_US
dc.contributor.authorPouli, T.en_US
dc.contributor.authorChamaret, C.en_US
dc.contributor.authorStauder, J.en_US
dc.contributor.authorReinhard, E.en_US
dc.contributor.authorKuzovkin, D.en_US
dc.contributor.authorTremeau, A.en_US
dc.contributor.editorChen, Min and Zhang, Hao (Richard)en_US
dc.date.accessioned2016-03-01T14:13:08Z
dc.date.available2016-03-01T14:13:08Z
dc.date.issued2016en_US
dc.description.abstractThe objective of colour mapping or colour transfer methods is to recolour a given image or video by deriving a mapping between that image and anOther image serving as a reference. These methods have received considerable attention in recent years, both in academic literature and industrial applications. Methods for recolouring images have often appeared under the labels of colour correction, colour transfer or colour balancing, to name a few, but their goal is always the same: mapping the colours of one image to anOther. In this paper, we present a comprehensive overview of these methods and offer a classification of current solutions depending not only on their algorithmic formulation but also their range of applications. We also provide a new dataset and a novel evaluation technique called ‘evaluation by colour mapping roundtrip’. We discuss the relative merit of each class of techniques through examples and show how colour mapping solutions can have been applied to a diverse range of problems.The objective of colour mapping or colour transfer methods is to recolour a given image or video by deriving a mapping between that image and anOther image serving as a reference. These methods have received considerable attention in recent years, both in academic literature and industrial applications. Methods for recolouring images have often appeared under the labels of colour correction, colour transfer or colour balancing, to name a few, but their goal is always the same: mapping the colours of one image to anOther. In this paper, we present a comprehensive overview of these methods and offer a classification of current solutions depending not only on their algorithmic formulation but also their range of applications.en_US
dc.description.documenttypestar
dc.description.number1en_US
dc.description.sectionheadersArticlesen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume35en_US
dc.identifier.doi10.1111/cgf.12671en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12671en_US
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf12671
dc.publisherCopyright © 2016 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectcolour mappingen_US
dc.subjectcolour correctionen_US
dc.subjectcolour enhancementen_US
dc.subjectI.4.8 [Image Processing and Computer Vision]: Scene Analysis Coloren_US
dc.titleColour Mapping: A Review of Recent Methods, Extensions and Applicationsen_US
Files
Collections
35-Issue 1