Abstract
The color cast images usually have serious loss of the color information and are inconvenient for visual observation and image analysis. To tackle this problem, a novel two-stage image color cast correction scheme is proposed in this paper. Firstly, the proposed approach performs the color cast and stable channel detection by using extreme intensity ratio of the original image. Second, the distorted image color is restored by solving the constrained problem with the degree of color variation and the above-detected color cast and stable channel. The experimental results using surveillance videos demonstrate that the proposed scheme is not only feasible but also effectively. In addition, the results satisfy human subjective perception as well.
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Zhu, D., Chen, L., Tian, J., Huang, X. (2014). A Two-Stage Blind Image Color Correction Using Color Cast Estimation. In: Li, S., Liu, C., Wang, Y. (eds) Pattern Recognition. CCPR 2014. Communications in Computer and Information Science, vol 484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45643-9_8
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DOI: https://doi.org/10.1007/978-3-662-45643-9_8
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