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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)
Department光电信息技术研究室
Conference Name1st International Conference on Multimedia and Image Processing, ICMIP 2016
Conference DateJune 1-3, 2016
Conference PlaceBandar Seri Begawan, Brunei
Source PublicationProceedings - 2016 1st International Conference on Multimedia and Image Processing, ICMIP 2016
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2016
Pages51-56
Indexed ByEI ; CPCI(ISTP)
EI Accession number20164302940851
WOS IDWOS:000386830000010
Contribution Rank1
ISBN978-1-4673-8940-2
KeywordNo-reference Image Quality Assessment Defocus Image Restoration
AbstractEven 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.
Language英语
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19297
Collection光电信息技术研究室
Corresponding AuthorZhang CS(张程硕)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Bejing, China
Recommended Citation
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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