Color balance algorithm with Zone system in color image correction

A particular and unwanted color dominates an image is referred to as color cast. In this paper, we describe a global color balance algorithm with Zone system to remove the color cast from the digital color images. The Zone system is a photographic technique which is based on previsualization for determining optimal film exposure and development. It is divided the full tonal levels into eleven zones ranging from zone 0 (pure black) to zone X (pure white), with zone V representing subjective middle gray which is corresponding to 18% reflectance. Therefore, we firstly transferred RGB to YCbCr color space. Next, according to the principle of the Zone system, we detected the color cast by comparing the averages of histograms of Cb and Cr components with zone V. The zone V was regarded as reference range to calculate the all of pixels value in YCbCr and then the adjusted parameters of RGB will be obtained. Experimental results exhibit the proposed algorithm can correct the color from the color cast. Finally, the proposed method was compared with other color balance algorithm in subjective and objective evaluations.

[1]  Zhong Jian,et al.  Development and Implementation of Automatic White Balance Based on Luminance Compensation , 2008, 2008 Second International Symposium on Intelligent Information Technology Application.

[2]  L. Blake THE NEGATIVE , 2020, A Silvan Tomkins Handbook.

[3]  E H Land,et al.  An alternative technique for the computation of the designator in the retinex theory of color vision. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Raimondo Schettini,et al.  Combining strategies for white balance , 2007, Electronic Imaging.

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

[6]  Zia-ur Rahman,et al.  A multiscale retinex for bridging the gap between color images and the human observation of scenes , 1997, IEEE Trans. Image Process..

[7]  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)..

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

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

[10]  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).

[11]  Zia-ur Rahman,et al.  Properties and performance of a center/surround retinex , 1997, IEEE Trans. Image Process..

[12]  Joann M. Taylor,et al.  Digital Color Imaging Handbook , 2004 .

[13]  Chiou-Shann Fuh,et al.  Automatic White Balance for Digital Still Cameras , 2006, J. Inf. Sci. Eng..

[14]  Jing Wang,et al.  Robust automatic white balance algorithm using gray color points in images , 2006, IEEE Transactions on Consumer Electronics.