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	A New Method for Image Denoising with Nonlocal Means
	Xuyao Zhang, Zhiyong Xu
	2015
会议名称	International Conference on Civil, Materials and Environmental Sciences (CMES 2015)
会议日期	2015
页码	99-102
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
ISSN号	2352-5401
内容类型	会议论文
源URL	[http://ir.ioe.ac.cn/handle/181551/7705]
专题	光电技术研究所_光电探测与信号处理研究室（五室）
推荐引用方式 GB/T 7714	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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