| 摘 要: 图像模糊度指的是一种图像降质程度，对其进行评价有着重要的意义。图像模糊度评价属于图像质量评 价的一种，目前图像模糊度评价客观方法分为全参考图像模糊度评价、半参考图像模糊度评价、无参考图像模糊度评价 三种。本文对上述三种评价方法及其应用进行了分析，尤其对无参考图像模糊度评价算法进行深入探讨，分析其应用适 用性，并对其今后发展进行了展望。 |
| 关键词: 图像质量评价；模糊度；无参考 |
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中图分类号: TP391
文献标识码: A
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| 基金项目: 本论文受沈阳工业大学2017年大学生创新创业训练项目支持. |
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| A Review of Image Fuzziness Evaluation and Its Application |
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MEI Jiaxiang,LIU Zhanning,ZHANG Zhijia,WANG Zitao,ZHANG Xuanyi,XUE Qing
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( Software School Shenyang University of Technology, Shenyang 110023, China)
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| Abstract: Image fuzziness refers to the degree of image degradation,and it is of great significance to evaluate it.Image fuzziness evaluation belongs to a kind of image quality evaluation.At present,there are three objective methods of image fuzziness evaluation:full reference(FR),reduced reference(RR),and no reference(NR).In this paper,the above three evaluation methods and their application are analyzed,especially the no reference image fuzziness evaluation algorithm and its applicability are further discussed,and its future development is prospected. |
| Keywords: image quality evaluation;fuzziness;no reference |
