Automatic White Balancing via Gray Surface Identification

Resource type
Date created
2007-11
Authors/Contributors
Author: Funt, Brian
Author: Shi, Lilong
Author: Kim, Sung-Su
Abstract
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.
Document
Description
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
Date
2007
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Language
Member of collection