CASIA OpenIR  > 模式识别国家重点实验室  > 视频内容安全
Exposure fusion via sparse representation and shiftable complex directional pyramid transform
Wang, Jinhua1,2; Wang, Weiqiang1; Li, Bing3; Xu, Guangmei2; Zhang, Ruizhe2; Zhang, Jingzun2
2017-07-01
发表期刊MULTIMEDIA TOOLS AND APPLICATIONS
卷号76期号:14页码:15755-15775
文章类型Article
摘要Sparse code theory with the sliding window technique can be used for the efficient fusion of multi-exposure images. However, when the size of the source images is large, this process requires a significant amount of time. To solve this problem, we propose a method that uses low-frequency sub-images of the source images as the input to the sparse code fusion framework. These low-frequency sub-images (which are far smaller than the entire image) provide a coarse representation of the original image. Regarding multi-scale decomposition, the high redundancy ratio of some methods limits their applicability to image fusion, especially multi-exposure image fusion (usually more than two source images). In this paper, we propose a method that employs a novel shiftable complex directional pyramid with shift-invariance and a low redundancy ratio to obtain the low-and high-frequency sub-images. For the high-frequency sub-image, we introduce a novel fusion rule based on the entropy of the segmented block, allowing more details of the source images to be preserved. Experiments show that our method attains results that are comparable to or better than existing methods.
关键词Exposure Fusion Pdtdfb Sparse Representation Fusion Rule
WOS标题词Science & Technology ; Technology
DOI10.1007/s11042-016-3868-2
关键词[WOS]K-SVD ; IMAGES
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61202245 ; Project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges under Beijing Municipality(CITTCD20130513) ; importation and development of High-Caliber Talents Project of Beijing Municipal Institutions(CITTCD20130320) ; Beijing Education Commission Science and Technology Project ; Research on Image Recognition of Seal in Chinese Painting and Calligraphy on Multi-features Fusion(KM201311417015) ; 61271370 ; 61271369 ; 61372148 ; 91420202 ; 61370138)
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000404609900024
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/15240
专题模式识别国家重点实验室_视频内容安全
作者单位1.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China
2.Beijing Union Univ, Coll Informat Technol, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Wang, Jinhua,Wang, Weiqiang,Li, Bing,et al. Exposure fusion via sparse representation and shiftable complex directional pyramid transform[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2017,76(14):15755-15775.
APA Wang, Jinhua,Wang, Weiqiang,Li, Bing,Xu, Guangmei,Zhang, Ruizhe,&Zhang, Jingzun.(2017).Exposure fusion via sparse representation and shiftable complex directional pyramid transform.MULTIMEDIA TOOLS AND APPLICATIONS,76(14),15755-15775.
MLA Wang, Jinhua,et al."Exposure fusion via sparse representation and shiftable complex directional pyramid transform".MULTIMEDIA TOOLS AND APPLICATIONS 76.14(2017):15755-15775.
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
WJH_MTA.pdf(2491KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang, Jinhua]的文章
[Wang, Weiqiang]的文章
[Li, Bing]的文章
百度学术
百度学术中相似的文章
[Wang, Jinhua]的文章
[Wang, Weiqiang]的文章
[Li, Bing]的文章
必应学术
必应学术中相似的文章
[Wang, Jinhua]的文章
[Wang, Weiqiang]的文章
[Li, Bing]的文章
相关权益政策
暂无数据
收藏/分享
文件名: WJH_MTA.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。