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Title: IMPLEMENTATION OF EDGE PRESERVING TECHNIQUES FOR EFFICIENT REMOVAL OF IMPULSE NOISE
Page Link: IMPLEMENTATION OF EDGE PRESERVING TECHNIQUES FOR EFFICIENT REMOVAL OF IMPULSE NOISE -
Posted By: seminar class
Created at: Tuesday 19th of April 2011 02:50:05 PM
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presented by:
MS.Radha,J.V.Sangeetha,S.Suba bala sathiy


ABSTRACT:
Image signals might be corrupted by Impulse noise in the process of signal acquisition and transmission. In this paper,an efficient VLSI implementation for removing impulse noise is presented.Our extensive experimental results show that the proposed technique preserves the edge features and obtains excellent performances in terms of quantitative evaluation and visual quality. The design requires only low computational complexity and two ....etc

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Title: A Fuzzy Noise Reduction Method for Color Images
Page Link: A Fuzzy Noise Reduction Method for Color Images -
Posted By: project topics
Created at: Monday 02nd of May 2011 12:57:53 PM
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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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Title: fuzzy filter for impulse noise reduction in color images
Page Link: fuzzy filter for impulse noise reduction in color images -
Posted By:
Created at: Saturday 08th of December 2012 04:40:24 PM
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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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Title: fuzzy based noise removal matlab code
Page Link: fuzzy based noise removal matlab code -
Posted By:
Created at: Tuesday 22nd of October 2013 01:07:09 AM
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Well I have a method_noise_image(noisy image - denoised image) and there it is expected that only noise is present. But, due to over blurring of denoising filters the method_noise_image possesses some residual along with noise. Now I want to filter out this noise from the method_noise_image so that only the residual is left out. I am new to Fuzzy. Can you please hlep me out with some matlab code using Fuzzy that will be helpful in this implementation. ....etc

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Title: Fuzzy Random Impulse Noise Removal From Color Image Sequences
Page Link: Fuzzy Random Impulse Noise Removal From Color Image Sequences -
Posted By: computer girl
Created at: Monday 04th of June 2012 07:42:26 PM
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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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Title: fuzzy filter for impulse noise reduction in color images matlab code
Page Link: fuzzy filter for impulse noise reduction in color images matlab code -
Posted By:
Created at: Thursday 11th of October 2012 02:20:32 PM
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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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Title: A Novel Two-Stage Impulse Noise Removal Technique Based on Neural Networks and Fuzzy
Page Link: A Novel Two-Stage Impulse Noise Removal Technique Based on Neural Networks and Fuzzy -
Posted By: smart paper boy
Created at: Wednesday 10th of August 2011 01:54:26 PM
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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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Title: A New Fuzzy Color Correlated Impulse Noise Reduction Method
Page Link: A New Fuzzy Color Correlated Impulse Noise Reduction Method -
Posted By: seminar class
Created at: Wednesday 04th of May 2011 06:45:45 PM
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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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Title: matlab code for salt and pepper noise removal by median type noise detectors and detail preserving regularization
Page Link: matlab code for salt and pepper noise removal by median type noise detectors and detail preserving regularization -
Posted By:
Created at: Monday 22nd of July 2013 12:01:29 AM
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Dear Madam\sir,

I am a research student. i want the matlab codings for salt and pepper noise removal by median type noise detectors and detail preserving regularization for my project dissertation. ....etc

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Title: Salt-and-Pepper Noise Removal by Median-type Noise Detectors and Detail-preserving
Page Link: Salt-and-Pepper Noise Removal by Median-type Noise Detectors and Detail-preserving -
Posted By: seminar class
Created at: Saturday 07th of May 2011 01:35:21 PM
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Abstract
This paper proposes a two-phase scheme for removing salt-and-pepper impulse noise. In the first
phase, an adaptive median filter is used to identify pixels which are likely to be contaminated by noise
(noise candidates). In the second phase, the image is restored using a specialized regularization method
that applies only to those selected noise candidates. In terms of edge preservation and noise suppression,
our restored images show a significant improvement compared to those restored by using just nonlinear
filters or r ....etc

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