Face hallucination based on sparse local-pixel structure
In this paper, we propose a face-hallucination method, namely face hallucination based on sparse local-pixel structure. In our framework, a high resolution (HR) face is estimated from a single frame low resolution (LR) face with the help of the facial dataset. Unlike many existing face-hallucination...
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| Format: | Article |
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Elsevier
2014
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| Online Access: | https://eprints.nottingham.ac.uk/53184/ |
| _version_ | 1848798896610869248 |
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| author | Li, Yongchao Cai, Cheng Qiu, Guoping Lam, Kin-Man |
| author_facet | Li, Yongchao Cai, Cheng Qiu, Guoping Lam, Kin-Man |
| author_sort | Li, Yongchao |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | In this paper, we propose a face-hallucination method, namely face hallucination based on sparse local-pixel structure. In our framework, a high resolution (HR) face is estimated from a single frame low resolution (LR) face with the help of the facial dataset. Unlike many existing face-hallucination methods such as the from local-pixel structure to global image super-resolution method (LPS-GIS) and the super-resolution through neighbor embedding, where the prior models are learned by employing the least-square methods, our framework aims to shape the prior model using sparse representation. Then this learned prior model is employed to guide the reconstruction process. Experiments show that our framework is very flexible, and achieves a competitive or even superior performance in terms of both reconstruction error and visual quality. Our method still exhibits an impressive ability to generate plausible HR facial images based on their sparse local structures. |
| first_indexed | 2025-11-14T20:27:03Z |
| format | Article |
| id | nottingham-53184 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:27:03Z |
| publishDate | 2014 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-531842020-05-04T20:15:05Z https://eprints.nottingham.ac.uk/53184/ Face hallucination based on sparse local-pixel structure Li, Yongchao Cai, Cheng Qiu, Guoping Lam, Kin-Man In this paper, we propose a face-hallucination method, namely face hallucination based on sparse local-pixel structure. In our framework, a high resolution (HR) face is estimated from a single frame low resolution (LR) face with the help of the facial dataset. Unlike many existing face-hallucination methods such as the from local-pixel structure to global image super-resolution method (LPS-GIS) and the super-resolution through neighbor embedding, where the prior models are learned by employing the least-square methods, our framework aims to shape the prior model using sparse representation. Then this learned prior model is employed to guide the reconstruction process. Experiments show that our framework is very flexible, and achieves a competitive or even superior performance in terms of both reconstruction error and visual quality. Our method still exhibits an impressive ability to generate plausible HR facial images based on their sparse local structures. Elsevier 2014-03 Article PeerReviewed Li, Yongchao, Cai, Cheng, Qiu, Guoping and Lam, Kin-Man (2014) Face hallucination based on sparse local-pixel structure. Pattern Recognition, 47 (3). pp. 1261-1270. ISSN 0031-3203 Face hallucination; Sparse local-pixel structure; Super-resolution; Sparse representation https://www.sciencedirect.com/science/article/pii/S0031320313003841 doi:10.1016/j.patcog.2013.09.012 doi:10.1016/j.patcog.2013.09.012 |
| spellingShingle | Face hallucination; Sparse local-pixel structure; Super-resolution; Sparse representation Li, Yongchao Cai, Cheng Qiu, Guoping Lam, Kin-Man Face hallucination based on sparse local-pixel structure |
| title | Face hallucination based on sparse local-pixel structure |
| title_full | Face hallucination based on sparse local-pixel structure |
| title_fullStr | Face hallucination based on sparse local-pixel structure |
| title_full_unstemmed | Face hallucination based on sparse local-pixel structure |
| title_short | Face hallucination based on sparse local-pixel structure |
| title_sort | face hallucination based on sparse local-pixel structure |
| topic | Face hallucination; Sparse local-pixel structure; Super-resolution; Sparse representation |
| url | https://eprints.nottingham.ac.uk/53184/ https://eprints.nottingham.ac.uk/53184/ https://eprints.nottingham.ac.uk/53184/ |