Guided Facial Skin Color Correction

Signals

Keiichiro Shirai¹  Yusuke Tatesumi¹  Tatsuya Baba²  Masahiro Okuda³  Shunsuke Ono⁴  Paul Perrotin⁵ 

[1] Faculty of Engineering, Shinshu University, 4-17-1 Wakasato, Nagano-shi 380-8553, Japan;Faculty of Environmental Engineering, The University of Kitakyushu, 1-1 Hibikino, Wakamatsu-ku, Kitakyushu-shi 808-0135, Japan;Faculty of Science and Engineering, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe-shi 610-0394, Japan;School of Computing, Tokyo Institute of Technology, G3-52 (Room 922), 4259 Nagatsuta-cho, Midori-ku, Yokohama-shi 226-8503, Japan;University Institute of Technology La Rochelle, 15 Rue François de Vaux de Foletier, 17000 La Rochelle, France;

关键词: auto correction;    color correction;    color grading;    face recognition;    guide image filtering;   

DOI  :  10.3390/signals2030033

来源: DOAJ

【 摘 要 】

This paper proposes an automatic image correction method for portrait photographs, which promotes consistency of facial skin color by suppressing skin color changes due to background colors. In portrait photographs, skin color is often distorted due to the lighting environment (e.g., light reflected from a colored background wall and over-exposure by a camera strobe). This color distortion is emphasized when artificially synthesized with another background color, and the appearance becomes unnatural. In our framework, we, first, roughly extract the face region and rectify the skin color distribution in a color space. Then, we perform color and brightness correction around the face in the original image to achieve a proper color balance of the facial image, which is not affected by luminance and background colors. Our color correction process attains natural results by using a guide image, unlike conventional algorithms. In particular, our guided image filtering for the color correction does not require a perfectly-aligned guide image required in the original guide image filtering method proposed by He et al. Experimental results show that our method generates more natural results than conventional methods on not only headshot photographs but also natural scene photographs. We also show automatic yearbook style photo generation as another application.

【 授权许可】

Unknown