Iterative Relaxed Collaborative Representation With Adaptive Weights Learning for Noise Robust Face Hallucination

doi:10.1109/TCSVT.2018.2829758

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	Iterative Relaxed Collaborative Representation With Adaptive Weights Learning for Noise Robust Face Hallucination
	Liu, Licheng 1; Li, Shutao 1; Chen, C. L. Philip 2,3,4
发表期刊	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
ISSN	1051-8215
	2019-05-01
卷号	29 期号:5 页码:1284-1295
通讯作者	Liu, Licheng(lichenghnu@gmail.com) ; Li, Shutao(shutao_li@hnu.edu.cn)
摘要	In recent years, the collaborative representation (CR)-based techniques have been widely employed for face hallucination. However, the conventional CR model becomes less efficient in handling noisy low-resolution face images. In this paper, an iterative relaxed CR (iRCR) model with adaptive weights learning is presented to enhance the resolution of face images corrupted by noise. The core idea of iRCR is that a diagonal weight matrix is incorporated into the objective function, which helps to debase the influence of noise in representation. Different from existing collaborative methods with reweighting strategy where the weights require manually tuning, the weights in iRCR are adaptively learned to stay more consistent with the model error. Moreover, considering the local manifold structure property and nonlocal prior of small patches, the locality regularization and collaborative regularization are incorporated into a unified framework. This enables the proposed iRCR not only to capture the true topology structure of patch manifold but also to exploit the meaningful patterns among the whole training samples for reconstruction. Experimental results on both face dataset and real-world images demonstrate the superiority of our proposed method over several state-of-the-art face hallucination methods.
关键词	Relaxed collaborative representation face hallucination locality regularization adaptively weights learning noise robust coding
DOI	10.1109/TCSVT.2018.2829758
关键词[WOS]	IMAGE SUPERRESOLUTION ; SPARSE REPRESENTATION ; RECOGNITION ; ALGORITHM ; EQUATIONS ; SYSTEMS ; MODEL
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61702169] ; National Natural Science Foundation of China[61572540] ; National Natural Science Foundation of China[61751202] ; National Natural Science Fund of China for International Cooperation and Exchanges[61520106001] ; Fundamental Research Funds for the Central Universities[531107050878] ; National Natural Science Foundation of China[61702169] ; National Natural Science Foundation of China[61572540] ; National Natural Science Foundation of China[61751202] ; National Natural Science Fund of China for International Cooperation and Exchanges[61520106001] ; Fundamental Research Funds for the Central Universities[531107050878]
项目资助者	National Natural Science Foundation of China ; National Natural Science Fund of China for International Cooperation and Exchanges ; Fundamental Research Funds for the Central Universities
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000467063100005
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：15[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/24590
专题	离退休人员
通讯作者	Liu, Licheng; Li, Shutao
作者单位	1.Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China 2.Univ Macau, Fac Sci & Technol, Macau 999078, Peoples R China 3.Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Liu, Licheng,Li, Shutao,Chen, C. L. Philip. Iterative Relaxed Collaborative Representation With Adaptive Weights Learning for Noise Robust Face Hallucination[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2019,29(5):1284-1295.
APA	Liu, Licheng,Li, Shutao,&Chen, C. L. Philip.(2019).Iterative Relaxed Collaborative Representation With Adaptive Weights Learning for Noise Robust Face Hallucination.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,29(5),1284-1295.
MLA	Liu, Licheng,et al."Iterative Relaxed Collaborative Representation With Adaptive Weights Learning for Noise Robust Face Hallucination".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 29.5(2019):1284-1295.