| 一种改进的自适应PDE去噪算法 |
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| 引用本文： | 程东旭,钱晓惠,郑玉晖,赵慧杰.一种改进的自适应PDE去噪算法[J].玉林师范学院学报,2011,32(2):31-34. |
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| 作者姓名： | 程东旭 钱晓惠 郑玉晖 赵慧杰 |
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| 作者单位： | 中原工学院理学院,河南郑州,450007 |
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| 基金项目： | 河南省重点科技攻关项目 |
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| 摘 要： | 讨论了经典的偏微分方程去噪模型——TV模型和四阶PDE去噪模型的优点与不足,提出一种改进的综合去噪模型。通过自适应的系数选择,将TV模型和四阶PDE去噪模型进行加权组合.数值试验结果表明,改进算法不仅保留了传统算法的优点,而且能有效提高去噪效果.
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| 关 键 词： | 全变分模型 偏微分方程 自适应 图像去噪 |
An Improved Adaptive PDE Denoising Algorithm |
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| CHENG Dong-xu,QIAN Xiao-hui,Zheng YU Hui,ZHAO Hui-jie.An Improved Adaptive PDE Denoising Algorithm[J].Journal of Yulin Teachers College,2011,32(2):31-34. |
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| Authors: | CHENG Dong-xu QIAN Xiao-hui Zheng YU Hui ZHAO Hui-jie |
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| Institution: | CHENG Dong-xu,QIAN Xiao-hui,Zheng YU Hui,ZHAO Hui-jie(Zhongyuan University of Technology,College of Science,Zhengzhou,Henan 450007) |
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| Abstract: | The advantages and disadvantages of the traditional PDE denoising model-TV model and fourth-order PDE denoising model are discussed in this paper.An improved combined denoising algorithm is presented.The TV model and the fourth-order PDE denoising model are weighted combined by adaptive coefficient selection.The numerical experiments show that the improved algorithm can preserve the advantages of the traditional algorithm and can improve the denoising results effectively. |
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| Keywords: | TV Model partial differential equation adative image de-noising |
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