计算机工程与应用2019，Vol.55Issue(4)：31-40,47,11.DOI:10.3778/j.issn.1002-8331.1810-0335
超分辨图像质量评价综述
Survey of Super-Resolution Images Quality Assessment
摘要
Abstract
This paper comprehensively surveys the development of Super-Resolution Image Quality Assessment(SRIQA). The objective of SRIQA is to design a computational model to measure the perceptual quality of Super-Resolution(SR) images based on the statistical results of subjective quality assessment. The SRIQA methods are significantly instructive for the optimization and the parameters selection of SR algorithms. First, this paper presents the subjective evaluation method for SR images. Next according to the categories of Full-Reference(FR), Reduced-Reference(RR), and No-Reference (NR)quality assessment methods, the existing objective quality assessment methods for SR images are introduced, respectively. Particularly, the major idea of NR quality assessment algorithms is presented in detail. Then the quantitative and qualitative evaluation indexes for SRIQA methods are provided, and the main experimental approaches for evaluating the effectiveness of the SR algorithms are described. Finally, the development trends of SRIQA are summarized.关键词
超分辨重建/主观评价/客观评价/超分辨图像质量评价(SRIQA)Key words
super-resolution reconstruction/ subjective evaluations/ objective evaluations/ Super-Resolution Image Quality Assessment(SRIQA)分类
信息技术与安全科学引用本文复制引用
张凯兵,朱丹妮,王珍,闫亚娣..超分辨图像质量评价综述[J].计算机工程与应用,2019,55(4):31-40,47,11.基金项目
国家自然科学基金(No.61471161) （No.61471161）
陕西省科技厅自然科学基础研究重点项目(No.2018JZ6002) （No.2018JZ6002）
西安工程大学博士科研启动基金(No.BS1616). （No.BS1616）
