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Local semi-supervised regression for single-image super-resolution
TangYi; PanXiaoli; YuanYuan; YanPingkun; LiLuoqing; LiXuelong; Yuan Yuan
作者部门瞬态光学国家重点实验室
2011
发表期刊MMSP
ISSN9781457714337
产权排序1
摘要n this paper, we propose a local semi-supervised learning-based algorithm for single-image super-resolution. Different from most of example-based algorithms, the information of test patches is considered during learning local regression functions which map a low-resolution patch to a high-resolution patch. Localization strategy is generally adopted in single-image super-resolution with nearest neighbor-based algorithms. However, the poor generalization of the nearest neighbor estimation decreases the performance of such algorithms. Though the problem can be fixed by local regression algorithms, the sizes of local training sets are always too small to improve the performance of nearest neighbor-based algorithms significantly. To overcome the difficulty, the semi-supervised regression algorithm is used here. Unlike supervised regression, the information about test samples is considered in semi-supervised regression algorithms, which makes the semi-supervised regression more powerful. Noticing that numerous test patches exist, the performance of nearest neighbor-based algorithms can be further improved by employing a semi-supervised regression algorithm. Experiments verify the effectiveness of the proposed algorithm.
收录类别EI ; CPCI
语种英语
项目资助者National Basic Research Program of China (973 Program); National Natural Science Foundation of China; Open Project Foundation of State Key Laboratory of Industrial Control Technology, (Zhejiang University)
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/19734
专题瞬态光学研究室
通讯作者Yuan Yuan
推荐引用方式
GB/T 7714
TangYi,PanXiaoli,YuanYuan,et al. Local semi-supervised regression for single-image super-resolution[J]. MMSP,2011.
APA TangYi.,PanXiaoli.,YuanYuan.,YanPingkun.,LiLuoqing.,...&Yuan Yuan.(2011).Local semi-supervised regression for single-image super-resolution.MMSP.
MLA TangYi,et al."Local semi-supervised regression for single-image super-resolution".MMSP (2011).
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