Abstract
A new impulse noise reduction method for colorimages is presented. Color images that are corrupted with impulsenoise are generally filtered by applying a grayscale algorithmon each color component separately or using a vector-based approachwhere each pixel is considered as a single vector. The firstapproach causes artefacts especially on edge and texture pixels.Vector-based methods were successfully introduced to overcomethis problem. Nevertheless, they tend to cluster the noise and toreceive a lower noise reduction performanc ....etc

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A Fuzzy Noise Reduction Method for Color Images - IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 16, NO. 5, - java

Abstract—A new fuzzy filter is presented for the reduction of additive
noise for digital color images. The filter consists of two subfilters.
The first subfilter computes fuzzy distances between the color
components of the central pixel and its neighborhood. These distances
determine in what degree each component should be corrected.
All performed corrections preserve the color component
distances. The goal of the s ....etc

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Noise Reduction by Fuzzy Image Filtering

Abstract: A new fuzzy filter is presented for the noise reduction of images corrupted with additive noise. The filter consists of two stages. The first stage computes a fuzzy derivative for eight different directions. The second stage uses these fuzzy derivatives to perform fuzzy smoothing by weighting the contributions of neighboring pixel values. Both stages are based on fuzzy rules which make use of membership functions. The filter can be applied iteratively to effectively reduce heavy noise. In p ....etc

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Fuzzy Impulse Noise Detection and Reduction (VB.NET)
IEEE Transactions on Image Processing, Vol. 15, No. 5,

Abstract:
Removing or reducing impulse noise is a very active research area in image processing. In this paper we describe a new algorithm that is especially developed for reducing all kinds of impulse noise: fuzzy impulse noise detection and reduction method (FIDRM). It can also be applied to images having a mixture of impulse noise and other types of noise. The result is an image quasi without (or with very little) impulse ....etc

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Fuzzy Random Impulse Noise Removal
From Color Image Sequences



Abstract

In this paper, a new fuzzy filter for the removal of
random impulse noise in color video is presented. By working with
different successive filtering steps, a very good tradeoff between
detail preservation and noise removal is obtained. One strong filtering
step that should remove all noise at once would inevitably
also remove a considerable amount of detail. Therefore, the noise
is filtered step by step. In each step, noisy pixe ....etc

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A simple fuzzy method to remove mixed
Gaussian-impulsive noise from colour images ....etc

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A Novel Two-Stage Impulse Noise Removal Technique Based on Neural Networks and Fuzzy Decision
Introduction
Images corrupted by impulse noise.
Objectives of noise removal:-
- Suppress the noise.
- To preserve the sharpness of edge.
Two-Stage impulse noise removal techniques used:-
- Neural Networks
- Fuzzy Decision
Neural Network
Neural network: information processing paradigm inspired by biological nervous systems, such as our brain
Structure: large number of h ....etc

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Noise Reduction by Fuzzy Image Filtering
Abstract: A new fuzzy filter is presented for the noise reduction of images corrupted with additive noise. The filter consists of two stages. The first stage computes a fuzzy derivative for eight different directions. The second stage uses these fuzzy derivatives to perform fuzzy smoothing by weighting the contributions of neighboring pixel values. Both stages are based on fuzzy rules which make use of membership functions. The filter can be applied iteratively to effectively reduce heavy noise. In part ....etc

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sir need matlab code for removal of mixed guassian and impulse noise from the color images.......please help me out in this regard
....etc

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pls sir send ppt on fuzzy filter for impulse noise reduction in color image.
my email id --- [email protected] ....etc

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