Multi-scale dictionary for single image super-resolution

OPT OpenIR > 光谱成像技术研究室

	Multi-scale dictionary for single image super-resolution
	Zhang, Kaibing; Gao, Xinbo; Tao, Dacheng; Li, Xuelong
	2012
会议名称	2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
会议录名称	2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
页码	1114-1121
会议日期	June 16, 2012 - June 21, 2012
出版地	United States
出版者	IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States
产权排序	3
摘要	Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually fail to hallucinate visual details while example-based methods sometimes introduce unexpected details. Given a generic LR image, to reconstruct a photo-realistic SR image and to suppress artifacts in the reconstructed SR image, we introduce a multi-scale dictionary to a novel SR method that simultaneously integrates local and non-local priors. The local prior suppresses artifacts by using steering kernel regression to predict the target pixel from a small local area. The non-local prior enriches visual details by taking a weighted average of a large neighborhood as an estimate of the target pixel. Essentially, these two priors are complementary to each other. Experimental results demonstrate that the proposed method can produce high quality SR recovery both quantitatively and perceptually.
作者部门	光学影像分析与学习中心
收录类别	SCI ; EI
ISBN号	9781467312264
语种	英语
ISSN号	10636919
文献类型	会议论文
条目标识符	http://ir.opt.ac.cn/handle/181661/20538
专题	光谱成像技术研究室
推荐引用方式 GB/T 7714	Zhang, Kaibing,Gao, Xinbo,Tao, Dacheng,et al. Multi-scale dictionary for single image super-resolution[C]. United States:IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States,2012:1114-1121.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Multi-scale dictiona（1220KB）			限制开放	CC BY-NC-SA	请求全文