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Robust Face Hallucination via Locality-Constrained Bi-Layer Representation
Liu, Licheng1; Chen, C. L. Philip2; Li, Shutao1; Tang, Yuan Yan2; Chen, Long2
2018-04
Source PublicationIEEE Transactions on Cybernetics
ISSN2168-2267
Volume48Issue:4Pages:1189-1201
Abstract

Recently, locality-constrained linear coding (LLC) has been drawn great attentions and been widely used in image processing and computer vision tasks. However, the conventional LLC model is always fragile to outliers. In this paper, we present a robust locality-constrained bi-layer representation model to simultaneously hallucinate the face images and suppress noise and outliers with the assistant of a group of training samples. The proposed scheme is not only able to capture the nonlinear manifold structure but also robust to outliers by incorporating a weight vector into the objective function to subtly tune the contribution of each pixel offered in the objective. Furthermore, a high-resolution (HR) layer is employed to compensate the missed information in the low-resolution (LR) space for coding. The use of two layers (the LR layer and the HR layer) is expected to expose the complicated correlation between the LR and HR patch spaces, which helps to obtain the desirable coefficients to reconstruct the final HR face. The experimental results demonstrate that the proposed method outperforms the state-of-the-art image super-resolution methods in terms of both quantitative measurements and visual effects.

KeywordBi-layer Representation Face Hallucination Locality-constrained Coding Robust Coding
DOIhttps://doi.org/10.1109/TCYB.2017.2682853
URLView the original
Indexed BySCI ; SSCI ; SSCI
Language英语
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000427426000007
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
The Source to ArticleWOS
Fulltext Access
Citation statistics
Cited Times [WOS]:10   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorLiu, Licheng; Chen, C. L. Philip; Li, Shutao; Tang, Yuan Yan; Chen, Long
Affiliation1.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
2.e Department of Computer and Information Science, University of Macau, Macau 999078, China
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Liu, Licheng,Chen, C. L. Philip,Li, Shutao,et al. Robust Face Hallucination via Locality-Constrained Bi-Layer Representation[J]. IEEE Transactions on Cybernetics,2018,48(4):1189-1201.
APA Liu, Licheng,Chen, C. L. Philip,Li, Shutao,Tang, Yuan Yan,&Chen, Long.(2018).Robust Face Hallucination via Locality-Constrained Bi-Layer Representation.IEEE Transactions on Cybernetics,48(4),1189-1201.
MLA Liu, Licheng,et al."Robust Face Hallucination via Locality-Constrained Bi-Layer Representation".IEEE Transactions on Cybernetics 48.4(2018):1189-1201.
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