引用本文: | 修保新,任双桥,张维明.基于模糊信息粒化理论的图像插值方法[J].国防科技大学学报,2004,26(3):34-38.[点击复制] |
XIU Baoxin,REN Shuangqiao,ZHANG Weiming.An Approach to Image Interpolation Based on the Theory of Fuzzy Information Granulation[J].Journal of National University of Defense Technology,2004,26(3):34-38[点击复制] |
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基于模糊信息粒化理论的图像插值方法 |
修保新1, 任双桥2, 张维明1 |
(1.国防科技大学 人文与管理学院,湖南 长沙 410073;2.国防科技大学ATR实验室,湖南 长沙 410073)
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摘要: |
提出了模糊信息粒化理论在图像插值中的应用,介绍了图像的模糊信息粒化结构,分析了基于图像模糊粒化思想进行图像插值的基本原理,并提出了具体的基于图像模糊粒化结构的插值方法。实验结果表明该方法的效果很好,在客观评价指标上,性能普遍好于传统的图像插值方法。 |
关键词: 模糊信息粒化 粒化结构 图像插值 |
DOI: |
投稿日期:2003-12-15 |
基金项目:国家部委资助项目(41322020301);国防科技大学基础研究资助项目(Jc03-02-003) |
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An Approach to Image Interpolation Based on the Theory of Fuzzy Information Granulation |
XIU Baoxin1, REN Shuangqiao2, ZHANG Weiming1 |
(1.College of Humanities and Management,National Univ. of Defense Technology, Changsha 410073, China;2.ATR Laboratory, National Univ. of Defense Technology, Changsha 410073, China)
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Abstract: |
Present the application of fuzzy information granulation (FIG) to image interpolation. Granulation structure of image is introduced, and the basic principle of image interpolation based on FIG is investigated. A new interpolation algorithm is proposed based on such granulation structure. It has been testified with better effect than the traditional methods by many experiments. |
Keywords: fuzzy information granulation granulation structure image interpolation |
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