White point estimation for uncalibrated images

Vlad C. Cardei, Brian Funt, Jacobus J Barnard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

53 Scopus citations

Abstract

Color images often must be color balanced to remove unwanted color casts. We extend previous work on using a neural network for illumination, or white-point, estimation from the case of calibrated images to that of uncalibrated images of unknown origin. The results show that the chromaticity of the ambient illumination can be estimated with an average CIE Lab error of 5ΔE. Comparisons are made to the grayworld and white patch methods.

Original languageEnglish (US)
Title of host publicationFinal Program and Proceedings - IS and T/SID Color Imaging Conference
Pages97-100
Number of pages4
Publication statusPublished - 1999
Externally publishedYes
EventFinal Program and Proceedings of the 7th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications - Scottsdale, AZ, United States
Duration: Nov 16 1999Nov 19 1999

Other

OtherFinal Program and Proceedings of the 7th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications
CountryUnited States
CityScottsdale, AZ
Period11/16/9911/19/99

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Cardei, V. C., Funt, B., & Barnard, J. J. (1999). White point estimation for uncalibrated images. In Final Program and Proceedings - IS and T/SID Color Imaging Conference (pp. 97-100)