| 基于全变分方法的非线性图像去噪研究 |
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| 引用本文： | 张艳明,孙玉秋,彭代强.基于全变分方法的非线性图像去噪研究[J].长江大学学报,2007,4(1):74-76. |
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| 作者姓名： | 张艳明 孙玉秋 彭代强 |
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| 作者单位： | 南京航空航天大学民航学院,江苏,南京,210016;中国人民放军空军航空管制系,北京,100071;长江大学信息与数学学院,湖北,荆州,434023;华中科技大学图像识别与人工智能研究所,湖北,武汉,430074 |
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| 摘 要： | 研究了全变分最小化模型在图像去噪中的应用,用变分法推导出与之相应的偏微分方程,并用差分法对该方程进行了数值仿真。仿真试验结果表明,该方法在去除噪声的同时,能更好地保持图像边缘细节,具有较好的处理效果。
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| 关 键 词： | 图像去噪 全变分 偏微分方程 非线性 |
| 文章编号： | 1673-1409（2007）01-N074-03 |
| 修稿时间： | 2006-12-03 |
Nonlinear Image Denoising Based on Total Variation Method |
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| Zhang Yan-ming,Sun Yu-qiu,Peng Dai-qiang.Nonlinear Image Denoising Based on Total Variation Method[J].Journal of Yangtze University,2007,4(1):74-76. |
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| Authors: | Zhang Yan-ming Sun Yu-qiu Peng Dai-qiang |
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| Abstract: | Image denoising technique based on minimization of the total variation(TV)is researched.The partial differential equations corresponding to it are also deduced,and the direct difference method is used to simulate the equation.Experimental results demonstrate that the method is effective for noise removal and can better preserve the sharp edge.It illustrates that the effect of total variation technique is excellent. |
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| Keywords: | image denoising total variation partial differential equations nonlinear |
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