Non-local means (NLM) filter denoises image with edge preservation. This paper puts forward an improvement in NLM filter by better evaluating true intensity value and retaining edges using genetic algorithm (GA). For proper establishment, empirical analysis is given that demonstrates why the proposed filter excels NLM. Some important results are given to analyse the advantage of proposed algorithm.

中文翻译：

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基于非局部均值和遗传算法的图像去噪新技术

非局部均值（NLM）滤镜可对图像进行边缘保留来消噪。本文提出了一种改进的NLM滤波器，可以通过使用遗传算法（GA）更好地评估真实强度值并保留边缘。为了正确建立，给出了经验分析，证明了所提出的过滤器为何优于NLM。给出了一些重要的结果来分析所提出算法的优势。