Title :
Automatic white balance based on adaptive feature selection with standard illuminants
Author :
Kim, Sujung ; Kim, Wook-Joong ; Kim, Seong-Dae
Author_Institution :
Div. of EE, Korea Adv. Inst. of Sci. & Technol.
Abstract :
Automatic white balance is a key function to remove undesirable color cast in digital cameras. Assumption-based methods (e.g. gray world method, white patch method) are widely used for the AWB process of digital cameras because of their low computational costs. However, they are highly dependent on the validity of their assumption. To solve this problem, we propose an adaptive feature extraction scheme for finding neutral color. The proposed method uses three features which are complementary and computationally effective. Moreover, we use the standard illuminants for evaluating an estimated illuminant not only to improve the accuracy of illuminant estimation, but also to provide the AWB skip mode. The experimental results show that the proposed method outperforms conventional assumption-based methods and arrives at reasonable color compensation over a wide range of scenes.
Keywords :
cameras; feature extraction; image colour analysis; AWB skip mode; adaptive feature extraction; adaptive feature selection; automatic white balance; color compensation; digital cameras; illuminant estimation; neutral color finding; standard illuminants; undesirable color cast removal; Brightness; Color; Computational complexity; Computational efficiency; Digital cameras; Feature extraction; Layout; Light sources; Neural networks; Testing; Automatic white balance; Color constancy; Digital camera; Illuminant estimation;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4711797