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Colour Image De-noising Analysis Based on Improved Non-local Mean Filter

机译：基于改进的非局部平均滤波器的彩色图像去噪分析

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In a non-linear filter, open resources filter is a particular scenario that is used to reduce the Gaussian noise in our paper and it performs well to reduce it. The major advantage of non-local means filter is to preserve the limits and particulars of a unique image. In this paper, combined both open means filter and mutual filter to recommend an enhanced filter for colour picture de-noising. Novel influence significance is computed by addition consistency in sequence into the weight to evaluate the parallel of the patch. At the final stage of this paper deals that the proposed method of NLM and BILF is a suitable method to reduce the Gaussian sound and combination of sound.
机译：在非线性滤波器中，开放式资源过滤器是用于减少纸张中的高斯噪声的特定场景，它表现良好，以减少它。非本地方法滤波器的主要优点是保留唯一图像的限制和细节。在本文中，组合开放式滤波器和相互过滤器以推荐增强滤波器的彩色图像去噪。通过添加序列的一致性来计算新的影响意义，以评估补丁的平行。在本文的最后阶段，涉及NLM和BILF的提出方法是减少高斯声音和声音组合的合适方法。

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