Automatic White Balancing via Gray Surface Identification

Peer reviewed: 
Yes, item is peer reviewed.
Scholarly level: 
Faculty/Staff
Final version 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.

Date created: 
2007-11
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.

Description: 

Presented at the CIC 2007 IS&T Color Imaging Conference, Nov. 2007.

Language: 
English
Document type: 
Conference presentation
Rights: 
Rights remain with the authors.
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