SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
A novel algorithm for color constancy
International Journal of Computer Vision
Color by Correlation: A Simple, Unifying Framework for Color Constancy
IEEE Transactions on Pattern Analysis and Machine Intelligence
Picture perfect RGB rendering using spectral prefiltering and sharp color primaries
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
IEEE Computer Graphics and Applications
Estimation of the Illuminant Color from Human Skin Color
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Estimating the Illuminant Color from the Shading of a Smooth Surface
Estimating the Illuminant Color from the Shading of a Smooth Surface
Investigation of color constancy with a neural network
Neural Networks
Digital photography with flash and no-flash image pairs
ACM SIGGRAPH 2004 Papers
Gamut Constrained Illuminant Estimation
International Journal of Computer Vision
Analysis of human faces using a measurement-based skin reflectance model
ACM SIGGRAPH 2006 Papers
Veiling glare in high dynamic range imaging
ACM SIGGRAPH 2007 papers
iCAM06: A refined image appearance model for HDR image rendering
Journal of Visual Communication and Image Representation
A perception-based color space for illumination-invariant image processing
ACM SIGGRAPH 2008 papers
Light mixture estimation for spatially varying white balance
ACM SIGGRAPH 2008 papers
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Existing methods for white balancing photographs tend to rely on skilled interaction from the user, which is prohibitive for most amateur photographers. We propose a minimal interaction system for white balancing photographs that contain humans. Many of the pictures taken by amateur photographers fall into this category. Our system matches a user-selected patch of skin in a photograph to an entry in a skin reflectance function database. The estimate of the illuminant that emerges from the skin matching can be used to white balance the photograph, allowing users to compensate for biased illumination in an image with a single click. We compare the quality of our results to output from three other low-interaction methods, including commercial approaches such as Google Picasa's one-click relighting [19], a whitepoint-based algorithm [16], and Ebner's localized gray-world algorithm [7]. The comparisons indicate that our approach offers several advantages for amateur photographers.