A Study on Cascade Filter Algorithm for Random Valued Impulse Noise Elimination

Random Valued Impulse Noise Elimination using Neural Filter

A neural filtering technique is proposed in this paper for restoring the images extremely corrupted with random valued impulse noise. The proposed intelligent filter is carried out in two stages. In first stage the corrupted image is filtered by applying an asymmetric trimmed median filter. An asymmetric trimmed median filtered output image is suitably combined with a feed forward neural networ...

A Hybrid Filtering Technique for Random Valued Impulse Noise Elimination on Digital Images

A novel adaptive network fuzzy inference system (ANFIS) based filter is presented for the enhancement of images corrupted by random valued impulse noise (RVIN). This technique is performed in two steps. In the first step, impulse noise using an Asymmetric Trimmed Median Filter (ATMF). In the second step, image restoration is obtained by an appropriately combining ATMF with ANFIS at the removal ...

A Study on Image Restoration Algorithm in Random-Valued Impulse Noise Environment

A Novel Directional Weighted Minimum Deviation (DWMD) Based Filter for Removal of Random Valued Impulse Noise

--The most median-based de noising methods works fine for restoring the images corrupted by Random Valued Impulse Noise with low noise level but very poor with highly corrupted images. In this paper a directional weighted minimum deviation (DWMD) based filter has been proposed for removal of high random valued impulse noise (RVIN). The proposed approach based on Standard Deviation (SD) works in...

A New Detection Statistic for Random-Valued Impulse Noise Removal

This paper proposes a new image statistic for detecting random-valued impulse noise. Combining it with detail-preserving regularization, we obtain a powerful two-phase method for denoising even for noise level as high as 60%. Simulation results show that our method is significantly better than a number of existing techniques in terms of image restoration and noise detection.