Light mixture estimation for spatially varying white balance

Eugene Hsu*, Tom Mertens, Sylvain Paris, Shai Avidan, Fredo Durand

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

34 Scopus citations


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 under-constrained. 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
StatePublished - 2008
Externally publishedYes
EventACM SIGGRAPH 2008 Papers 2008, SIGGRAPH'08 - Los Angeles, CA, United States
Duration: 11 Aug 200815 Aug 2008


ConferenceACM SIGGRAPH 2008 Papers 2008, SIGGRAPH'08
Country/TerritoryUnited States
CityLos Angeles, CA


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


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