Light mixture estimation for spatially varying white balance

Eugene Hsu, Tom Mertens, Sylvain Paris, Shai Avidan, Frédo Durand

Research output: Contribution to journalArticlepeer-review

Abstract

White balance is a crucial step in the photographic pipeline. It ensures the proper rendition of images by eliminating color casts due to differing illuminants. Digital cameras and editing programs provide white balance tools that assume a single type of light per image, such as daylight. However, many photos are taken under mixed lighting. We propose a white balance technique for scenes with two light types that are specified by the user. This covers many typical situations involving indoor/outdoor or flash/ambient light mixtures. Since we work from a single image, the problem is highly underconstrained. Our method recovers a set of dominant material colors which allows us to estimate the local intensity mixture of the two light types. Using this mixture, we can neutralize the light colors and render visually pleasing images. Our method can also be used to achieve post-exposure relighting effects.

Original languageEnglish
Article number70
JournalACM Transactions on Graphics
Volume27
Issue number3
DOIs
StatePublished - 1 Aug 2008
Externally publishedYes

Keywords

  • Color constancy
  • Computational photography
  • Image processing
  • White balance

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