Abstract
Aiming to tackle the shortage of traditional white balance algorithms on face image, an eye white based algorithm is proposed under the assumption of stability of eye white in YCrCb color space. It first compares the eye white parts of input image with standard ones under normal white light source, to produce a gain coefficient, then corrects the color cast to the image. The experiments show that our method overcomes traditional counterparts both in subjective vision viewpoint and objective evaluation while retains good applicability and simple implementation.
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Acknowledgement
This work is supported in part by the National Natural Science Foundation of China (No. 61472092) and Guangdong College Student Innovation Project (No. S201911078074).
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Feng, Y., Lu, W., Zhang, J., Li, F. (2021). An Automatic White Balance Algorithm via White Eyes. In: Liu, Q., Liu, X., Shen, T., Qiu, X. (eds) The 10th International Conference on Computer Engineering and Networks. CENet 2020. Advances in Intelligent Systems and Computing, vol 1274. Springer, Singapore. https://doi.org/10.1007/978-981-15-8462-6_191
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DOI: https://doi.org/10.1007/978-981-15-8462-6_191
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