New super-resolution algorithm for a single image based on local structure similarity

CORC > 自动化研究所 > 中国科学院自动化研究所 > 智能制造技术与系统研究中心 > 多维数据分析团队

	New super-resolution algorithm for a single image based on local structure similarity
	Han, Hua; Wang, Hongjian; Peng, Silong,; Han Hua
刊名	Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
	2005
卷号	17 期号:(5)页码:941-947
关键词	Image Zooming / Image Super-resolution / Local Structure Similarity / Map
英文摘要	Single-image zooming is an ill-posed problem due to constrained information which may be provided. This paper pays attention to the similarity feature among local structures in an image which can be maintained across scale. Based on the feature, we propose a new method using similarity. By the method, first, we try to find out all the similar structure sets under certain similarity criterion and obtain the degree of similarity. Then according to the degree sorted, image sequences in similarity are generated. As a result, we can apply known algorithms in the field of image sequence super-solution to solve the problem. This paper selects the MAP method and computes the optimal resolution by the steep-descending iterations. Several experiments are presented to demonstrate the effectiveness of the approach, especially in the area of IC, where the images are often with plenty of similar structures.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/12999]
专题	自动化研究所_智能制造技术与系统研究中心_多维数据分析团队
通讯作者	Han Hua
推荐引用方式 GB/T 7714	Han, Hua,Wang, Hongjian,Peng, Silong,,et al. New super-resolution algorithm for a single image based on local structure similarity[J]. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics,2005,17((5)):941-947.
APA	Han, Hua,Wang, Hongjian,Peng, Silong,,&Han Hua.(2005).New super-resolution algorithm for a single image based on local structure similarity.Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics,17((5)),941-947.
MLA	Han, Hua,et al."New super-resolution algorithm for a single image based on local structure similarity".Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics 17.(5)(2005):941-947.