Edge-directed single image super-resolution via cross-resolution sharpening function learning

doi:10.1007/s11042-016-3656-z

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 遥感图像处理团队

	Edge-directed single image super-resolution via cross-resolution sharpening function learning
	Han, Wei 1,2; Chu, Jun 1,2; Wang, Lingfeng3 ; Pan, Chunhong3
刊名	MULTIMEDIA TOOLS AND APPLICATIONS
	2017-04-01
卷号	76 期号:8 页码:11143-11155
关键词	Super-resolution Gradient Magnitude Transformation Linear Transformation Function
DOI	10.1007/s11042-016-3656-z
文献子类	Article
英文摘要	Edge-directed single image super-resolution methods have been paid more attentions due to their sharp edge preserving in the recovered high-resolution image. Their core is the high-resolution gradient estimation. In this paper, we propose a novel cross-resolution gradient sharpening function learning to obtain the high-resolution gradient. The main idea of cross-resolution learning is to learn a sharpening function from low-resolution, and use it in high-resolution. Specifically, a blurred low-resolution image is first constructed by performing bicubic down-sampling and up-sampling operations sequentially. The gradient sharpening function considered as a linear transform is learned from blurred low-resolution gradient to the input low-resolution image gradient. After that, the high-resolution gradient is estimated by applying the learned gradient sharpening function to the initial blurred gradient obtained from the bicubic up-sampled of the low-resolution image. Finally, edge-directed single image super-resolution reconstruction is performed to obtain the sharpened high-resolution image. Extensive experiments demonstrate the effectiveness of our method in comparison with the state-of-the-art approaches.
WOS关键词	RECONSTRUCTION ; LIMITS
WOS研究方向	Computer Science ; Engineering
语种	英语
WOS记录号	WOS:000400570400048
资助机构	National Natural Science Foundation of China(61263046 ; 61403376 ; 61175025)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/15262]
专题	自动化研究所_模式识别国家重点实验室_遥感图像处理团队
作者单位	1.Nanchang Hangkong Univ, Inst Comp Vis, Nanchang, Jiangxi, Peoples R China 2.Nanchang Hangkong Univ, Key Laborator Jiangxi Prov Image Proc & Pattern R, Nanchang, Jiangxi, Peoples R China 3.Chinese Acad Sci, Inst Automat, NLPR, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Han, Wei,Chu, Jun,Wang, Lingfeng,et al. Edge-directed single image super-resolution via cross-resolution sharpening function learning[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2017,76(8):11143-11155.
APA	Han, Wei,Chu, Jun,Wang, Lingfeng,&Pan, Chunhong.(2017).Edge-directed single image super-resolution via cross-resolution sharpening function learning.MULTIMEDIA TOOLS AND APPLICATIONS,76(8),11143-11155.
MLA	Han, Wei,et al."Edge-directed single image super-resolution via cross-resolution sharpening function learning".MULTIMEDIA TOOLS AND APPLICATIONS 76.8(2017):11143-11155.