Image denoising using adaptive neuro-fuzzy system

In this paper, we propose a generalized fuzzy inference system (GFIS) in noise image processing. The GFIS is a multi-layer neuro-fuzzy structure which combines both Mamdani model and TS fuzzy model to form a hybrid fuzzy system. The GFIS can not only preserve the interpretability property of the Mamdani model but also keep the robust local stability criteria of the TS model. Simulation results indicate that the proposed model shows a high-quality restoration of filtered images for the noise model than those using median filters or wiener filters, in terms of peak signal-to-noise ratio (PSNR).