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Proceedings Paper

Improvement of face image super-resolution by high-precision skin color detection
Author(s): Keigo Kano; Tomio Goto; Satoshi Hirano; Son Lam Phung
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Paper Abstract

When super-resolution processing is applied to facial images, wrinkle and stains are emphasized, so super-resolution processing on skins part is not suitable. Therefore, in the previous study, we proposed a method to perform facial correction on skin parts. However, we confirmed that there was a problem that image quality deteriorated according to the skin color detection accuracy. Therefore, in this paper, we propose a novel skin color detection method and an experimental result demonstrates that a high quality super-resolution image is obtained for a facial image.

Paper Details

Date Published: 27 March 2019
PDF: 6 pages
Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019, 110500F (27 March 2019); doi: 10.1117/12.2521516
Show Author Affiliations
Keigo Kano, Nagoya Institute of Technology (Japan)
Tomio Goto, Nagoya Institute of Technology (Japan)
Satoshi Hirano, Nagoya Institute of Technology (Japan)
Son Lam Phung, Univ. of Wollongong (Australia)

Published in SPIE Proceedings Vol. 11050:
International Forum on Medical Imaging in Asia 2019
Feng Lin; Hiroshi Fujita; Jong Hyo Kim, Editor(s)

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