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Synthesis of the optimal fuzzy filters for image smoothing

机译:用于图像平滑的最佳模糊滤波器的综合

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Abstract: In this paper it is shown how fuzzy control techniques can be directly applied on adaptive weighted average filters design. It is possible for proposed filters to adjust the weights to adapt to local data in image in order to achieve maximum noise reduction in uniform areas and preserve details of images as well. Furthermore, a method for the automatic tuning of the fuzzy filter has been developed. According to the proposed tuning method, the fuzzy filter is tuned optimally in the mean square error (MSE) sense. This work shows a new approach for image processing based on fuzzy rules. !9
机译:摘要:本文显示了如何将模糊控制技术直接应用于自适应加权平均滤波器设计。所提出的滤波器可能会调整权重以适应图像中的本地数据,从而在均匀区域中实现最大程度的降噪并同时保留图像的细节。此外,已经开发了一种用于自动调节模糊滤波器的方法。根据所提出的调整方法,模糊滤波器在均方误差(MSE)的意义上进行了最佳调整。这项工作展示了一种基于模糊规则的图像处理新方法。 !9

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