Face Hallucination Via Weighted Adaptive Sparse Regularization
文献类型：期刊论文
| 作者 | Wang, Zhongyuan1,2; Hu, Ruimin1,2; Wang, Shizheng3; Jiang, Junjun1,2 |
| 刊名 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
 |
| 出版日期 | 2014-05-01 |
| 卷号 | 24期号:5页码:802-813 |
| 关键词 | l(q) norm adaptive sparse regularization face hallucination super-resolution weighted penalty |
| 英文摘要 | Sparse representation-based face hallucination approaches proposed so far use fixed l(1) norm penalty to capture the sparse nature of face images, and thus hardly adapt readily to the statistical variability of underlying images. Additionally, they ignore the influence of spatial distances between the test image and training basis images on optimal reconstruction coefficients. Consequently, they cannot offer a satisfactory performance in practical face hallucination applications. In this paper, we propose a weighted adaptive sparse regularization (WASR) method to promote accuracy, stability and robustness for face hallucination reconstruction, in which a distance-inducing weighted l(q) norm penalty is imposed on the solution. With the adjustment to shrinkage parameter q, the weighted l(q) penalty function enables elastic description ability in the sparse domain, leading to more conservative sparsity in an ascending order of q. In particular, WASR with an optimal q > 1 can reasonably represent the less sparse nature of noisy images and thus remarkably boosts noise robust performance in face hallucination. Various experimental results on standard face database as well as real-world images show that our proposed method outperforms state-of-the-art methods in terms of both objective metrics and visual quality. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Engineering, Electrical & Electronic |
| 研究领域[WOS] | Engineering |
| 关键词[WOS] | IMAGE SUPERRESOLUTION ; REPRESENTATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000336057400008 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8028]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_生物识别与安全技术研究中心 |
| 作者单位 | 1.Wuhan Univ, Natl Engn Res Ctr Multimedia Software, Wuhan 430079, Peoples R China 2.Wuhan Univ, Sch Comp, Wuhan 430079, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Zhongyuan,Hu, Ruimin,Wang, Shizheng,et al. Face Hallucination Via Weighted Adaptive Sparse Regularization[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2014,24(5):802-813. |
| APA | Wang, Zhongyuan,Hu, Ruimin,Wang, Shizheng,&Jiang, Junjun.(2014).Face Hallucination Via Weighted Adaptive Sparse Regularization.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,24(5),802-813. |
| MLA | Wang, Zhongyuan,et al."Face Hallucination Via Weighted Adaptive Sparse Regularization".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 24.5(2014):802-813. |
入库方式： OAI收割
来源：自动化研究所
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