Minimal Knowledge vs the Real World

Finlayson, Graham D. and Paul, Julia (2002) Minimal Knowledge vs the Real World. In: The 10th Color Imaging Conference: Color Science and Engineering Systems, Technologies, Applications, 2002-11-01.

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In this paper we show that Viggiano’s Minimal Knowledge assumption can be used for color correction when the illumination is known.Indeed,given a known illuminant we find that real data is well modelled by the Minimal Knowledge assumption.Experiments demonstrate that color correction based on the Minimal Knowledge assumption is similar to that based on real data.

Item Type: Conference or Workshop Item (Paper)
Faculty \ School: Faculty of Science > School of Computing Sciences
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Depositing User: Vishal Gautam
Date Deposited: 27 Jul 2011 13:16
Last Modified: 15 Jan 2021 01:04

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