| 一种新的基于SVC和MIVP识别图像脉冲噪声的研究 |
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| 引用本文： | 陆丽婷,顾绮芳,潘婷婷.一种新的基于SVC和MIVP识别图像脉冲噪声的研究[J].湖北大学学报(自然科学版),2013(2):228-231. |
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| 作者姓名： | 陆丽婷 顾绮芳 潘婷婷 |
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| 作者单位： | 无锡城市职业技术学院电子信息工程系 |
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| 基金项目： | 无锡城市职业技术学院科研项目(WXCY-2011-GY-010)资助 |
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| 摘 要： | 利用基于统计理论的数字图像脉冲噪声统计量识别法MIVP法，结合SVC的图像脉冲噪声自适应滤波器，提出一种检测数字图像中脉冲噪声的新方法．实验表明，在不增加时间复杂性的条件下，这一方法的滤波效果比原先的SVC滤波器有明显的改善．
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| 关 键 词： | 图像恢复 脉冲噪声 支持向量分类 大数定律 中心极限定理 |
A new research of image impulse noise recognition based on SVC and MIVP |
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| LU Liting,GU Qifang,PAN Tingting.A new research of image impulse noise recognition based on SVC and MIVP[J].Journal of Hubei University(Natural Science Edition),2013(2):228-231. |
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| Authors: | LU Liting GU Qifang PAN Tingting |
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| Institution: | (Department of Electronic Information Engineering,Wuxi City College of Vocational Technology,Wuxi 214153,China) |
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| Abstract: | A new method for impulse noise detection was proposed using the statistical theory method called MIVP method combined with SVC impulse noise filter. The experimental results showed that the filtering effects were significantly improved comparing with the original SVC impulse noise filters without increasing its time complexity. |
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| Keywords: | image restoration impulse noise support vector classification（SVC） law of large numbers central limit theorem |
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