中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
No-Reference Image Quality Assessment for Defocus Restoration

文献类型:会议论文

作者Zhang CS(张程硕); Shi ZL(史泽林); Xu BS(徐保树); Feng B(冯斌)
出版日期2016
会议名称1st International Conference on Multimedia and Image Processing, ICMIP 2016
会议日期June 1-3, 2016
会议地点Bandar Seri Begawan, Brunei
关键词No-reference image quality assessment defocus image restoration
页码51-56
通讯作者张程硕
中文摘要Even though both full-reference and no-reference image quality assessments are extensively applied to evaluate degraded images e.g. blurred, noised, compressed and distorted, few of them especially the no-reference species are suitable for image restoration. The goal of this work is to propose a no-reference quality assessment for defocus restoration. Because of that most optical systems have circular aperture, the defocusing is an isotropic filter to blur the edges. As a result, the change of edge location detected by Canny algorithm will be small after defocusing. Otherwise, smooth regions will be smoother after defocusing. Therefore, the locations of edges and smooth regions will not change. We get those invariant points from defocus image to form two point sets, one containing edge points, another containing the centers of smooth regions. The two point sets are used to form patches in restoration image, and image patch structure metric is proposed for those patches to score the local restoration quality. At last, the quality assessment for defocus restoration is modeled as an overall measure by all of the patches structure metric. Experiments on simulated defocus image and real defocus images are presented to demonstrate the effectiveness of this assessment.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录Proceedings - 2016 1st International Conference on Multimedia and Image Processing, ICMIP 2016
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISBN号978-1-4673-8940-2
WOS记录号WOS:000386830000010
源URL[http://ir.sia.cn/handle/173321/19297]  
专题沈阳自动化研究所_光电信息技术研究室
推荐引用方式
GB/T 7714
Zhang CS,Shi ZL,Xu BS,et al. No-Reference Image Quality Assessment for Defocus Restoration[C]. 见:1st International Conference on Multimedia and Image Processing, ICMIP 2016. Bandar Seri Begawan, Brunei. June 1-3, 2016.

入库方式: OAI收割

来源:沈阳自动化研究所

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