Fuzzy Logic based Adaptive Noise Filter for Real Time Image Processing Applications

Fuzzy Logic based Adaptive Noise Filter for Real Time Image Processing Applications

This paper represents Fuzzy logic based Adaptive Noise filter for real time image processing applications. Initially, the detection is performed using 3x3 scan and then taking a mean of four pixels further scanning is performed. Then histogram approach is applied for improving the image quality, textures and edges. The detection stage will identify the noise pixels. In the second stage of filte...

A Real Time Adaptive Multiresolution Adaptive Wiener Filter Based On Adaptive Neuro-Fuzzy Inference System And Fuzzy evaluation

In this paper, a real-time denoising filter based on modelling of stable hybrid models is presented. Thehybrid models are composed of the shearlet filter and the adaptive Wiener filter in different forms.The optimization of various models is accomplished by the genetic algorithm. Next, regarding thesignificant relationship between Optimal models and input images, changing the structure of Optim...

Adaptive Noise Reduction for Real-time Applications

We present a new algorithm for real-time noise reduction of audio signals. In order to derive the noise reduction function, the proposed method adaptively estimates the instantaneous noise spectrum from an autoregressive signal model as opposed to the widely-used approach of using a constant noise spectrum fingerprint. In conjunction with the Ephraim and Malah suppression rule a significant red...

An Adaptive Fuzzy Image Smoothing Filter for Gaussian Noise

This paper presents a Gaussian noise filter that uses a sigmoid shaped membership function to model image information in the spatial domain. This function acts as a tunable smoothing intensification operator. With a proper choice of two sigmoid parameters ‘t’ and ‘a’, the filter strength can be tuned for removal of Gaussian noise in intensity images. An image information measure, Total Compatib...

A Note on "Data mining based noise diagnosis and fuzzy filter design for image processing"