CASIA OpenIR  > 智能制造技术与系统研究中心  > 多维数据分析
一种新的单幅图像超分辨率方法
韩华; 赵书斌; 彭思龙,
Source Publication中科院自动化研究所自动化与信息技术发展战略研讨会暨2003年学
2003
Issue2003Pages:631-643
AbstractSingle—image zooming is an-ll·posed problem which is always limited by constrainted information.This paper considers the similarity among local strBctures in a image which.can be maintained across scale.Based on this rule,we propose a new method which limits super-resolution problem using similarity.First,we find aIl possible similarStlmCture sets based on certain similality criterions and get the degree of similarity.Then according tO the degree sorted. similar image sequence are generated.Therefore we can apply known algorithms in the field of image sequence super-solutlon.At last this paper selects the MAP method and computes the optimal resolution by the steep·descending iterations.Several experiment results ale presented demonstration the effectiveness ofthe approach.
KeywordImage Zooming:super-resolution Local Structure Similarity Map
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12957
Collection智能制造技术与系统研究中心_多维数据分析
Corresponding Author韩华
Recommended Citation
GB/T 7714
韩华,赵书斌,彭思龙,. 一种新的单幅图像超分辨率方法[J]. 中科院自动化研究所自动化与信息技术发展战略研讨会暨2003年学,2003(2003):631-643.
APA 韩华,赵书斌,&彭思龙,.(2003).一种新的单幅图像超分辨率方法.中科院自动化研究所自动化与信息技术发展战略研讨会暨2003年学(2003),631-643.
MLA 韩华,et al."一种新的单幅图像超分辨率方法".中科院自动化研究所自动化与信息技术发展战略研讨会暨2003年学 .2003(2003):631-643.
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