Synthesis of the optimal fuzzy filters for image smoothing
Akira Taguchi, Hironori Takashima · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
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.