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No-Reference Image Quality Assessment for Defocus Restoration
Zhang CS(张程硕); Shi ZL(史泽林); Xu BS(徐保树); Feng B(冯斌)
作者部门光电信息技术研究室
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
会议录名称Proceedings - 2016 1st International Conference on Multimedia and Image Processing, ICMIP 2016
出版者IEEE
出版地Piscataway, NJ, USA
2016
页码51-56
收录类别EI ; CPCI(ISTP)
EI收录号20164302940851
WOS记录号WOS:000386830000010
产权排序1
ISBN号978-1-4673-8940-2
关键词No-reference Image Quality Assessment Defocus Image Restoration
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.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19297
专题光电信息技术研究室
通讯作者Zhang CS(张程硕)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Bejing, China
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]. Piscataway, NJ, USA:IEEE,2016:51-56.
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