Hallucinating Very Low Resolution Face Images to 16x magnification with Age based Attributes 연령기반 속성을 이용한 초저화질 얼굴 이미지 16배 복원

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Face hallucination is a type of super resolution that restores very low resolution (8 × 8 pixel) to high resolution (128×128 pixel) face images. Since unique facial features caused by age, e.g.wrinkles, are ignored during restoration, restored face images can be somewhat dissimilar to the original faces, particularly for older people. To solve this problem, we construct a pipeline network to restore face images more realistically by including age attribute, predicted from the low resolution image. Predicted age attribute is divided into young and old groups, where the aging network is the last pipeline stage and only applied when the original face image includes old age attributes. Thus, older people tend to be restored with wrinkles and features similar to their original appearance. Restored images are compared qualitatively and quantitatively with images created by existing methods. We show that the proposed method maintains and restores age related personality features, such as wrinkles, producing higher structural similarity index than other methods. © 2020, Vaclav Skala Union Agency. All rights reserved.
Publisher
University of West Bohemia
Issue Date
2020-06
Language
English
Article Type
Article
Citation

Journal of WSCG, v.28, no.1-2, pp.57 - 63

ISSN
1213-6972
DOI
10.24132/jwscg.2020.28.7
URI
http://hdl.handle.net/10203/280533
Appears in Collection
CS-Journal Papers(저널논문)
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