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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >An Improved Image Denoising Model Based on Nonlocal Means Filter
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An Improved Image Denoising Model Based on Nonlocal Means Filter

机译:基于非局部意义滤波的改进的图像去噪模型

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摘要

The nonlocal means filter plays an important role in image denoising. We propose in this paper an image denoising model which is a suitable improvement of the nonlocal means filter. We compare this model with the nonlocal means filter, both theoretically and experimentally. Experiment results show that this new model provides good results for image denoising. Particularly, it is better than the nonlocal means filter when we consider the denoising for natural images with high textures.
机译:非局部意味着滤波在图像去噪中起着重要作用。 我们在本文中提出了一种图像去噪模式,其是非局部意味着过滤器的合适改进。 我们将此模型与非局部手段滤波器进行比较,在理论上和实验上。 实验结果表明,这一新模型为图像去噪提供了良好的效果。 特别是,当我们考虑具有高纹理的自然图像的去噪时,它比非局部意味着过滤。

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