Flesh Tone Balance Algorithm for AWB of Facial Pictures 


Vol. 34,  No. 11, pp. 1040-1048, Nov.  2009


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  Abstract

This paper proposes an auto flesh tone balance algorithm for the picture that is taken for people. General white balance algorithms bring neutral region into focus. But, other objects can be basis if its spectral reflectance is known. In this paper the basis for white balance is human face. For experiment, first, transfer characteristic of image sensor is analyzed and camera output RGB on average face chromaticity under standard illumination is calculated. Second, Output rate for the image is adjusted to make RGB rate for the face photo area taken under unknown illumination RGB rate that is already calculated. Input tri-stimulus XYZ can be calculated from camera output RGB by camera transfer matrix. And input tri-stimulus XYZ is transformed to standard color space (sRGB) using sRGB transfer matrix. For display, RGB data is encoded as eight-bit data after gamma correction. Algorithm is applied to average face color that is light skin color of Macbeth color chart and average color of various face colors that are actually measured.

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  Cite this article

[IEEE Style]

T. Bae, S. Lee, J. Lee, K. Sohng, "Flesh Tone Balance Algorithm for AWB of Facial Pictures," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 11, pp. 1040-1048, 2009. DOI: .

[ACM Style]

Tae-Wuk Bae, Sung-Hak Lee, Jung-Wook Lee, and Kyu-Ik Sohng. 2009. Flesh Tone Balance Algorithm for AWB of Facial Pictures. The Journal of Korean Institute of Communications and Information Sciences, 34, 11, (2009), 1040-1048. DOI: .

[KICS Style]

Tae-Wuk Bae, Sung-Hak Lee, Jung-Wook Lee, Kyu-Ik Sohng, "Flesh Tone Balance Algorithm for AWB of Facial Pictures," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 11, pp. 1040-1048, 11. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880