Auto White Balance Algorithm in Digital Camera

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Abstract:

Auto white balance (AWB) is an important function of digital camera. The purpose of white balance is to adjust the image to make it look like taken under standard light conditions. We present a new technique to detect the reference white point of image in this paper. This technique detects the white point of image by using dynamic threshold method, thus making it more flexible and more applicable compared to other algorithms. We test 50 images which were taken under different light sources, and find that this algorithm is better than or comparable to other algorithms both in subjective and objective aspects. At the same time, this algorithm has low complexity, and it can be easily applied to hardware implementation.

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2080-2084

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June 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] K. Barnard, V. Cardei, B. Funt. A comparison of computational color constancy algorithms - part I: methodology and experiment with synthesized data [J]. IEEE Transactions on Image Processing. 2002, 11(9): 972-984.

DOI: 10.1109/tip.2002.802531

Google Scholar

[2] K. Barnard, V. Cardei, B. Funt. A comparison of computational color constancy algorithms - part II: experiments with image data [J]. IEEE Transactions on Image Processing. 2002, 11(9): 985-996.

DOI: 10.1109/tip.2002.802529

Google Scholar

[3] H. Lee, H. Choi, S. Park, et al. One Dimensional Conversion of Color Temperature in Perceived Illumination [J]. IEEE Transactions on Consumer Electronics. 2001, 47(3): 340-346.

DOI: 10.1109/30.964119

Google Scholar

[4] A. Gijsenij, T. Gevers. Color constancy using natural image statistics [C]. Proceedings of the International Conference on Computer Vision and Pattern Recognition. 2007. 1-8.

DOI: 10.1109/cvpr.2007.383206

Google Scholar

[5] Po-Min Wang, Chiou-Shann Fuh. Automatic White Balance with Color Temperature Estimation [C]. International Conference on Consumer Electronics (ICCE). 2007. 4-6.

DOI: 10.1109/icce.2007.341338

Google Scholar

[6] K. Barnard, B. Funt. Camera characterization for color research [C]. Color Research & Application. 2002. 152-163.

DOI: 10.1002/col.10050

Google Scholar

[7] Y. C. Cheng, W. H. Chan. Automatic white balance for digital still camera [J]. IEEE Transactions on Consumer Electronics. 1995, 41(3): 460-466.

DOI: 10.1109/30.468045

Google Scholar

[8] F. Ciurea, B. Funt, L. Quitra. A large Image Database for Color Constancy Research [EB/OL]. http: /www. cs. sfu. ca/~colour. (2003).

Google Scholar

[9] J. van de Weijer, T, Gevers. Edge-based color constancy [J]. IEEE Transactions on Image Processing. 2007, 16(9): 2207-2214.

DOI: 10.1109/tip.2007.901808

Google Scholar