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基于模糊信息粒化理论的图像插值方法 被引量：1

An Approach to Image Interpolation Based on the Theory of Fuzzy Information Granulation
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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。 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.
作者 修保新 任双桥 张维明
机构地区 国防科技大学人文与管理学院 国防科技大学实验室
出处 《国防科技大学学报》 EI CAS CSCD 北大核心 2004年第3期34-38,共5页 Journal of National University of Defense Technology
基金 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)
关键词 模糊信息粒化 粒化结构 图像插值 fuzzy information granulation granulation structure image interpolation
分类号 TN911.73 [电子电信—通信与信息系统]
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参考文献14

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二级参考文献10

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共引文献26

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国防科技大学学报
2004年 第3期

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