| 题名: | A New Method for Image Denoising with Nonlocal Means |
| 作者: | Xuyao Zhang, Zhiyong Xu
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| 出版日期: | 2015
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| 会议名称: | International Conference on Civil, Materials and Environmental Sciences (CMES 2015)
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| 会议日期: | 2015
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| DOI: | 10.2991/cmes-15.2015.29
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| 中文摘要: | Denoising is an important problem in image processing, as it can influence the following processing step and decide the final visual effect. To denoise the image and preserve the details, this paper enhances the Nonlocal Means. When estimating the value of a disturbed pixel, we use the information of edges and textures as the weights of pixels involved in calculation, instead of simple Gaussian distance weights. The weights of edge and texture are obtained by direction grads and the coefficients of variation (CV). Finally, based on the results from different images, the enhanced algorithm is shown to have better performance than traditional NLM in SSIM, and has a better visual effect in subjective evaluations. |
| 英文摘要: | Denoising is an important problem in image processing, as it can influence the following processing step and decide the final visual effect. To denoise the image and preserve the details, this paper enhances the Nonlocal Means. When estimating the value of a disturbed pixel, we use the information of edges and textures as the weights of pixels involved in calculation, instead of simple Gaussian distance weights. The weights of edge and texture are obtained by direction grads and the coefficients of variation (CV). Finally, based on the results from different images, the enhanced algorithm is shown to have better performance than traditional NLM in SSIM, and has a better visual effect in subjective evaluations. |
| 语种: | 英语
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| ISSN号: | 2352-5401
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| 文章类型: | 会议论文
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| 页码: | 99-102
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| 内容类型: | 会议论文
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| URI标识: | http://ir.ioe.ac.cn/handle/181551/7705
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| Appears in Collections: | 光电探测与信号处理研究室（五室）_会议论文
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| Recommended Citation: | |
Xuyao Zhang, Zhiyong Xu. A New Method for Image Denoising with Nonlocal Means[C]. 见:International Conference on Civil, Materials and Environmental Sciences (CMES 2015). 2015.
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