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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 01:50:05 AM
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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: matlab code for cognition and removal of impulse noise with uncertainty
Page Link: matlab code for cognition and removal of impulse noise with uncertainty -
Posted By: Guest
Created at: Friday 25th of January 2013 11:27:34 PM
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//noise removal
//enhancement of this paper
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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: Guest
Created at: Saturday 08th of December 2012 02:40:24 AM
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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: Guest
Created at: Thursday 11th of October 2012 01:20:32 AM
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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 12:35:21 AM
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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 re ....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 12:54:26 AM
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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: cognition and removal of impulse noise with uncertainty
Page Link: cognition and removal of impulse noise with uncertainty -
Posted By: jasbissam
Created at: Thursday 19th of September 2013 12:34:38 PM
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Title: low cost vlsi implementation for the efficient of removal of impulse noise
Page Link: low cost vlsi implementation for the efficient of removal of impulse noise -
Posted By: manomithra
Created at: Wednesday 07th of March 2012 09:56:02 PM
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Title: free download impulse noise removal source code matlab
Page Link: free download impulse noise removal source code matlab -
Posted By: Guest
Created at: Saturday 14th of May 2016 09:40:34 AM
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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 06:42:26 AM
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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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