文件名称:pianweifentuxiangquzao
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- 上传时间：
- 2012-11-26
- 文件大小：
- 269kb
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- 0次
- 提 供 者：
- Maxin*****
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介绍了基于偏微分方程(PDE)的两种去噪模型,即ROF模型和LLT模型。根据对这两种模型的比较,提出了应用权函数
来合并ROF模型和LLT模型的综合模型。实验表明,综合模型既能克服ROF模型和LLT模型的缺点,又能融合它们的优点,在去
噪、保护平滑区域、保护边缘和纹理细节方面都有较好的表现-Introduced based on partial differential equations (PDE) of the two kinds of de-noising model, namely, ROF model and the LLT model. According to a comparison of these two models put forward the application of the right function to merge ROF model and the LLT model of the integrated model. Experiments show that both the integrated model to overcome the ROF model and the LLT model shortcomings, but also integrate their advantages, in the de-noising, protect smooth region to protect the edge and texture details are better performance
来合并ROF模型和LLT模型的综合模型。实验表明,综合模型既能克服ROF模型和LLT模型的缺点,又能融合它们的优点,在去
噪、保护平滑区域、保护边缘和纹理细节方面都有较好的表现-Introduced based on partial differential equations (PDE) of the two kinds of de-noising model, namely, ROF model and the LLT model. According to a comparison of these two models put forward the application of the right function to merge ROF model and the LLT model of the integrated model. Experiments show that both the integrated model to overcome the ROF model and the LLT model shortcomings, but also integrate their advantages, in the de-noising, protect smooth region to protect the edge and texture details are better performance
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基于偏微分方程的图像去噪综合模型.kdh