Guided Facial Skin Color Correction
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Signals |
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| Online Access: | https://www.mdpi.com/2624-6120/2/3/33 |
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| author | Keiichiro Shirai Tatsuya Baba Shunsuke Ono Masahiro Okuda Yusuke Tatesumi Paul Perrotin |
| author_facet | Keiichiro Shirai Tatsuya Baba Shunsuke Ono Masahiro Okuda Yusuke Tatesumi Paul Perrotin |
| author_sort | Keiichiro Shirai |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T07:13:51Z |
| format | Article |
| id | doaj.art-cf69d8258df94805906964fe370b3f04 |
| institution | Directory Open Access Journal |
| issn | 2624-6120 |
| language | English |
| last_indexed | 2024-03-10T07:13:51Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Signals |
| spelling | doaj.art-cf69d8258df94805906964fe370b3f042023-11-22T15:15:55ZengMDPI AGSignals2624-61202021-08-012354055810.3390/signals2030033Guided Facial Skin Color CorrectionKeiichiro Shirai0Tatsuya Baba1Shunsuke Ono2Masahiro Okuda3Yusuke Tatesumi4Paul Perrotin5Faculty of Engineering, Shinshu University, 4-17-1 Wakasato, Nagano-shi 380-8553, JapanFaculty of Environmental Engineering, The University of Kitakyushu, 1-1 Hibikino, Wakamatsu-ku, Kitakyushu-shi 808-0135, JapanSchool of Computing, Tokyo Institute of Technology, G3-52 (Room 922), 4259 Nagatsuta-cho, Midori-ku, Yokohama-shi 226-8503, JapanFaculty of Science and Engineering, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe-shi 610-0394, JapanFaculty of Engineering, Shinshu University, 4-17-1 Wakasato, Nagano-shi 380-8553, JapanUniversity Institute of Technology La Rochelle, 15 Rue François de Vaux de Foletier, 17000 La Rochelle, FranceThis 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.https://www.mdpi.com/2624-6120/2/3/33auto correctioncolor correctioncolor gradingface recognitionguide image filtering |
| spellingShingle | Keiichiro Shirai Tatsuya Baba Shunsuke Ono Masahiro Okuda Yusuke Tatesumi Paul Perrotin Guided Facial Skin Color Correction Signals auto correction color correction color grading face recognition guide image filtering |
| title | Guided Facial Skin Color Correction |
| title_full | Guided Facial Skin Color Correction |
| title_fullStr | Guided Facial Skin Color Correction |
| title_full_unstemmed | Guided Facial Skin Color Correction |
| title_short | Guided Facial Skin Color Correction |
| title_sort | guided facial skin color correction |
| topic | auto correction color correction color grading face recognition guide image filtering |
| url | https://www.mdpi.com/2624-6120/2/3/33 |
| work_keys_str_mv | AT keiichiroshirai guidedfacialskincolorcorrection AT tatsuyababa guidedfacialskincolorcorrection AT shunsukeono guidedfacialskincolorcorrection AT masahirookuda guidedfacialskincolorcorrection AT yusuketatesumi guidedfacialskincolorcorrection AT paulperrotin guidedfacialskincolorcorrection |