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- W3147598787 abstract "This paper presents a novel solution to the illuminant estimationproblem: the problem of how, given an image of ascene taken under an unknown illuminant, we can recoveran estimate of that light. The work is founded on previousgamut mapping solutions to the problem which solvefor a scene illuminant by determining the set of diagonalmappings which take image data captured under an unknownlight to a gamut of reference colours taken undera known light. Unfortunately a diagonal model is not alwaysa valid model of illumination change and so previousapproaches sometimes return a null solution. In addition,previous methods are difficult to implement. We addressthese problems by recasting the problem as one ofilluminant classification: we define a prioria set of plausiblelights thus ensuring that a scene illuminant estimatewill always be found. A plausible light is represented bythe gamut of colours observable under it and the illuminantin an image is classified by determining the plausible lightwhose gamut is most consistent with the image data. Weshow that this step (the main computational burden of thealgorithm) can be performed simply, quickly, and efficientlyby means of a non-negative least-squares optimisation. Wereport results on a large set of real images which show thatit provides excellent illuminant estimation, outperformingprevious algorithms." @default.
- W3147598787 created "2021-04-13" @default.
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- W3147598787 date "2003-10-13" @default.
- W3147598787 modified "2023-09-28" @default.
- W3147598787 title "Gamut Constrained Illuminant Estimation" @default.
- W3147598787 hasPublicationYear "2003" @default.
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