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文摘
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全参考图像质量评价(Full Reference Image Quality Assessment, FR-IQA)是IQA领域广为研究的类型之一.本文回顾了FR-IQA的发展历程,对FR-IQA应用现状和通用FR-IQA问题的构建进行综述,以及对FR-IQA算法进行总结和梳理.并在此基础上,重点分析了现有研究中存在的问题,包括问题构建的合理性、建模的全面性问题、知识驱动与数据驱动结合的问题等.基于对主观评价过程的深入分析,结合现有研究存在的问题,探讨了主观评分采用模糊建模和知识与数据联合驱动构建算法两个可能的研究方向,以期对后续的研究者提供参考. |
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其他语种文摘
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Full reference image quality assessment (FR-IQA) is one of the types widely studied in the field of IQA. This paper reviews the development of FR-IQA, summarizes the application status of FR-IQA and the construction of general FR-IQA problems, and summarizes and combs FR-IQA algorithms. And on this basis, it focuses on the problems existing in the existing research, including the rationality of the problem construction, the comprehensive problem of modeling, and the problem of the combination of knowledge-driven and data-driven. Finally, based on the in-depth analysis of the subjective evaluation process and the existing problems in the existing research, the two possible research directions of subjective scoring using fuzzy modeling and knowledge-data-driven construction algorithm are discussed, in order to provide reference for subsequent researchers. |
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来源
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电子学报
,2021,49(11):2261-2272 【核心库】
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DOI
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10.12263/DZXB.20200780
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关键词
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图像质量评价
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FR-IQA
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主观评分
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模糊建模
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知识与数据联合驱动
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地址
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1.
陕西科技大学电气与控制工程学院, 陕西, 西安, 710021
2.
宁夏大学数学统计学院, 宁夏, 银川, 750021
3.
陕西科技大学电子信息与人工智能学院, 陕西, 西安, 710021
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语种
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中文 |
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文献类型
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综述型 |
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ISSN
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0372-2112 |
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学科
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自动化技术、计算机技术 |
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基金
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国家自然科学基金
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陕西省自然科学基金
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文献收藏号
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CSCD:7109411
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