Intensity difference based neuro-fuzzy system for impulse noisy image restoration: ID-NFS
Rashmi Kumari, Deepak Gambhir, Vikas Kumar · 2014
Restoration of the image corrupted by impulse noise is proposed in this paper. Adaptive neuro fuzzy inference system (ANFIS) has been used to detect the impulse noisy pixels to keep preserve the fine details of the image. Feed-forward neural network with resilient backpropagation method is used to estimate the value of the pixel by which the corrupted pixel is replaced by the estimated value. Proposed method is experimented on some popular test images and the results are shown for visual analysis as well as for quantitative measures.