Development and Implementation of Automatic White Balance Based on Luminance Compensation

Automatic white balance plays a key role in image signal processing circuit of image sensors, and determines image quality to a large extent. An automatic white balance algorithm based on luminance compensation is proposed. The algorithm establish the equations of RGB channels between the captured image and the natural one firstly based on the assumption that the luminance average of the whole image holds the line when the light source has changed. Then, to compensate the loss of luminance that might be made by the primary plus and make the corrected image equal to the natural one, the algorithm further combines the max white method to amend the gains. So the image will be proofread accurately. To evaluate the proposed algorithm, the subjective observation method and the objective comparison method are both used, and the results of the test prove that the corrected results of image emendated by it are excelled to that by some traditional algorithms. Finally, this algorithm is implemented with VLSI design, and the test of integration indicates that the algorithm is easy to be realized in the integrated circuit and can satisfy the requirement of real-time processing.

[1]  E.Y. Lam,et al.  Combining gray world and retinex theory for automatic white balance in digital photography , 2005, Proceedings of the Ninth International Symposium on Consumer Electronics, 2005. (ISCE 2005)..

[2]  Yung-Cheng Liu,et al.  Automatic white balance for digital still camera , 1995 .

[3]  Sung-Jea Ko,et al.  An advanced video camera system with robust AF, AE, and AWB control , 2001, IEEE Trans. Consumer Electron..

[4]  Michael A. Wirth,et al.  White-balancing algorithms in colour photograph restoration , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

[5]  Oscar C. Au,et al.  Automatic white balancing using standard deviation of RGB components , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[6]  E. Land,et al.  Lightness and retinex theory. , 1971, Journal of the Optical Society of America.

[7]  N. Kehtarnavaz,et al.  Development and Real-Time Implementation of Auto White Balancing Scoring Algorithm , 2002, Real Time Imaging.

[8]  Chiou-Shann Fuh,et al.  Automatic White Balance with Color Temperature Estimation , 2007, 2007 Digest of Technical Papers International Conference on Consumer Electronics.

[9]  Yung-Cheng Liu,et al.  Automatic white balance of digital still camera , 1995, Proceedings of International Conference on Consumer Electronics.