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Flesh Tone Balance Algorithm for AWB of Facial Pictures  

Bae, Tae-Wuk (경북대학교 전자전기컴퓨터공학부 오디오비디오 신호처리 및 자동차전자공학연구실)
Lee, Sung-Hak (경북대학교 전자전기컴퓨터공학부 오디오비디오 신호처리 및 자동차전자공학연구실)
Lee, Jung-Wook (LG전자 Digital Display 사업부)
Sohng, Kyu-Ik (경북대학교 전자전기컴퓨터공학부 오디오비디오 신호처리 및 자동차전자공학연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.34, no.11C, 2009 , pp. 1040-1048 More about this Journal
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.
Keywords
White Balance; Camera; Facial Picture;
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