标题:MEDICAL IMAGE SUPER-RESOLUTION WITH NON-LOCAL EMBEDDING SPARSE REPRESENTATION AND IMPROVED IBP
作者:Zhang, Mingli; Desrosiers, Christian; Qu, Qiang; Guo, Fenghua; Zhang, Caiming
作者机构:[Zhang, Mingli; Desrosiers, Christian] Ecole Technol Super, Montreal, PQ H3C 1K3, Canada.; [Qu, Qiang] Innopolis Univ, Data Sci & Informat Syst Dain 更多
会议名称:IEEE International Conference on Acoustics, Speech, and Signal Processing
会议日期:MAR 20-25, 2016
来源:2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS
出版年:2016
卷:2016-May
页码:888-892
DOI:10.1109/ICASSP.2016.7471803
关键词:Non-local sparse representation; non-local embedding; improved IBP;; high-resolution image
摘要:This paper proposes a novel super-resolution method that exploits the sparse representation and non-local similarity of patches for the effective reconstruction of images. High-resolution images are reconstructed from low resolution observations with an efficient technique based on the alternating direction method of multipliers (ADMM). A robust iterative back-projection approach is used in a post-processing step to remove residual noise and artifacts in the reconstructed image. Experiments on benchmark medical images illustrate the advantage of our method, in terms of PSNR and SSIM, compared to state of the art approaches.
收录类别:CPCI-S;EI;SCOPUS
WOS核心被引频次:3
Scopus被引频次:3
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973400151&doi=10.1109%2fICASSP.2016.7471803&partnerID=40&md5=09ee0c83685ecdc85c9418164dd94aa9
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