Automatic White Balancing via Gray Surface Identification

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Author: Funt, Brian
Author: Shi, Lilong
Author: Kim, Sung-Su
The key to automatic white balancing of digital imagery is to estimate accurately the color of the overall scene illumination. Many methods for estimating the illumination’s color have been proposed [1-6]. Although not the most accurate, one of the simplest and quite widely used methods is the gray world algorithm [6]. Borrowing on some of the strengths and simplicity of the gray world algorithm, we introduce a modification of it that significantly improves on its performance while adding little to its complexity.
Presented at the CIC 2007 IS&T Color Imaging Conference, Nov. 2007.
Published as
Xiong, W., Funt, B., Shi, L., Kim, S., Kang, B., and Lee, S.D., "Automatic White Balancing via Gray Surface Identification," Proc. Fifteenth IS&T Color Imaging Conference, Albuquerque, Nov. 2007.
Publication title
Proc. Fifteenth Color Imaging Conference
Document title
Automatic White Balancing via Gray Surface Identification
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