Extended Corrected-Moments Illumination Estimation

Chen, Xiaochuan, Drew, Mark S., Li, Ze-Nian and Finlayson, Graham D. (2016) Extended Corrected-Moments Illumination Estimation. Electronic Imaging, 2016 (20). pp. 1-8. ISSN 2470-1173

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Abstract

A remarkably simple color constancy method was recently developed, based in essence on the Gray-Edge method, i.e., the assumption that the mean of color-gradients in a scene (or colors themselves, in a Gray-World setting) are close to being achromatic. However this new method for illuminant estimation explicitly includes the important notions that (1) we cannot hope to recover illuminant strength, but only chromaticity; and (2) that a polynomial regression from image moment vectors to chromaticity triples should be based not on polynomials but instead on the roots of polynomials, in order to release the regression from absolute units of lighting. In this paper we extend these new image moments in several ways: by replacing the standard expectation value mean used in the moments by a Minkowski p-norm; by going over to a float value for the parameter p and carrying out a nonlinear optimization on this parameter; by considering a different expectation value, generated by using the geometric mean. We show that these strategies can drive down the median and maximum error of illumination estimates.

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Colour and Imaging Lab
Related URLs:	http://www.ingentaconnect.com/content/10...
Depositing User:	LivePure Connector
Date Deposited:	19 Jun 2020 23:56
Last Modified:	30 Mar 2023 11:31
URI:	https://ueaeprints.uea.ac.uk/id/eprint/75727
DOI:	10.2352/ISSN.2470-1173.2016.20.COLOR-309

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