A New Method for Image Denoising with Nonlocal Means | |
Xuyao Zhang, Zhiyong Xu | |
Pages | 99-102 |
2015 | |
Language | 英语 |
ISSN | 2352-5401 |
DOI | 10.2991/cmes-15.2015.29 |
Subtype | 会议论文 |
Abstract | 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.; 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. |
Conference Name | International Conference on Civil, Materials and Environmental Sciences (CMES 2015) |
Conference Date | 2015 |
Citation statistics | |
Document Type | 会议论文 |
Identifier | http://ir.ioe.ac.cn/handle/181551/7705 |
Collection | 光电探测与信号处理研究室(五室) |
Recommended Citation GB/T 7714 | Xuyao Zhang, Zhiyong Xu. A New Method for Image Denoising with Nonlocal Means[C],2015:99-102. |
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2015-2064.pdf(1705KB) | 会议论文 | 开放获取 | CC BY-NC-SA | Application Full Text |
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