文献详情
Image Quality Assessment: a Reduced Reference Algorithm for the Super-resolution Reconstruction Image
文献类型会议
作者Yu Kang-Long[1];Meng Zhao-Kui[2];Sun Ming-Jie[3]
2013
机构
会议名称3rd International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC)
会议论文集2013 THIRD INTERNATIONAL CONFERENCE ON INSTRUMENTA
通讯作者Yu, KL (reprint author), Beijing Univ Aeronaut & Astronaut, Sch Instrument Sci & Optoelect Engn, Beijing 100191, Peoples R China.
页码范围171-175
来源信息年:2013  页码范围:171-175  
会议信息3rd International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC)  ISSN:2373-6844
关键词image quality assessment; imaging super-resolution reconstruction; structural similarity image metric(SSIM); scale invariant feature transform(SIFT)
摘要The previous image quality assessment(IQA) methods request the same size of original and distorted image, not suitable for the super-resolution image. The effective of image size change has rarely been discussed. An improved reduced-reference image quality assessment (RRIQA) method based on the structural similarity image metric(SSIM) and scale invariant feature transform(SIFT) was put forward. The method is applicable to the super-resolution image, and considering more than one reference image. Experimental comparisons demonstrate the effectiveness of the proposed method.
收录情况EI(20143017987440)  CPCI-S(WOS:000359802100031)  
所属部门仪器科学与光电工程学院
DOI号10.1109/IMCCC.2013.43
学科自动化与控制系统;计算机:硬件;仪器仪表;电信学
会议地点Harbin Inst Technol, Shenyang, PEOPLES R CHINA
会议开始日期2013-01-01
语言外文
人气指数86
浏览次数86
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