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[PDF] Top 20 Impulse Noise Removal Based on Adaptive Threshold Technique

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Impulse Noise Removal Based on Adaptive Threshold Technique

Impulse Noise Removal Based on Adaptive Threshold Technique

... and noise free even in the digital ...by impulse noise. Impulse noise is also known as spike noise or salt and pepper ...noise. Impulse noise results in dark ... See full document

8

Impulse Noise Removal using Cloud Model based Filter

Impulse Noise Removal using Cloud Model based Filter

... the impulse noise with noise occurrence of 10% to 90% are ...the noise detection and the quality of the restored ...(SM), Adaptive Median (AM) and Wiener ...high noise levels. ... See full document

5

ACO Based Adaptive Filter for High Density Impulse Noise

ACO Based Adaptive Filter for High Density Impulse Noise

... ACO based adaptive non-casual linear prediction technique for vector median filter to remove high density impulse noise from color ...impulsive noise reduction and edge ... See full document

5

Efficient Global Threshold Vector Outlyingness Ratio Filter for the Removal of Random Valued Impulse Noise

Efficient Global Threshold Vector Outlyingness Ratio Filter for the Removal of Random Valued Impulse Noise

... In Gaussian filter [2], the Euclidean distance between the current pixel and its neighborhood is calculated. In median filter, each pixel is replaced by the median value in its neighborhood, and thus destroys the ... See full document

9

Removal of Impulse Noise In Image Using Simple Edge Preserving Denoising Technique

Removal of Impulse Noise In Image Using Simple Edge Preserving Denoising Technique

... This is a new strategy for combining orientation adaptive filtering and edge preserving filtering. The filter which adapts to the local orientation avoids the filtering across the borders. The local orientation ... See full document

7

Adaptive Signal Processing for Removal of Impulse Noise from Yield Monitor Signals

Adaptive Signal Processing for Removal of Impulse Noise from Yield Monitor Signals

... a technique for measuring corn silage yield using torque transducers on the silage blower shaft and cutter- head drive shaft, and the system performed well when integrated over a 2500-kg (5512-lb) load of ... See full document

10

An Efficient Adaptive Switching Median Filter Architecture for Removal of Impulse Noise in Images

An Efficient Adaptive Switching Median Filter Architecture for Removal of Impulse Noise in Images

... "speckle" noise data to ..."speckle" noise from an image processing ...the noise without affecting the "clean" ...an impulse, then the value of the center pixel is ... See full document

9

Hybrid Regression Analysis based Technique for Removal of Impulse Noise from Gray Scale Images

Hybrid Regression Analysis based Technique for Removal of Impulse Noise from Gray Scale Images

... remove impulse noise from gray scale ...Logic Based Adaptive Noise Filter, this method consist of three steps, in the first step, center pixel of the window is tested whether pixel is ... See full document

6

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES MANAGEMENT IMAGE DENOISING USING WAVELET THRESHOLDING METHODS Namrata Dewangan *1 , Agam Das Goswami 2

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES MANAGEMENT IMAGE DENOISING USING WAVELET THRESHOLDING METHODS Namrata Dewangan *1 , Agam Das Goswami 2

... of noise removal from degraded images with Gaussian noise by using adaptive wavelet threshold (Bayes Shrink, Neigh Shrink, Sure Shrink, Bivariate Shrink and Block Shrink) and compare ... See full document

5

Removal of Random Valued Impulse Noise by Directional Mean Filter using Statistical Noise based Detection

Removal of Random Valued Impulse Noise by Directional Mean Filter using Statistical Noise based Detection

... the noise level is high it introduces that time introduces blurring in the ...corruption noise to blur the image, hence the techniques which follow the two stage process of detection of noise pixels ... See full document

5

Wavelets Transformation Based Speech Signal Enhancement by Removing Impulsive Noise

Wavelets Transformation Based Speech Signal Enhancement by Removing Impulsive Noise

... and removal of impulse noise in degraded old analog recordings has been reported, whereby the wavelet coefficient corresponding to the scale where the audio signal is weak in comparison to the ... See full document

6

An Adaptive Image Mixed Noise Removal Algorithm Based On MMTD

An Adaptive Image Mixed Noise Removal Algorithm Based On MMTD

... Gaussian Noise and Salt & pepper Noise is known as Mixed ...ever-present noise model in the image. Based on the variance of Gaussian Noise and density of Salt & pepper ... See full document

6

A Novel Algorithm for Impulse Noise Removal and Edge Detection

A Novel Algorithm for Impulse Noise Removal and Edge Detection

... Salt-and-pepper impulse noise is one commonly encountered noise type during image and video communication ...Pepper noise can be removed by Progressive Switching Median (PSM) filter [11], ... See full document

5

Filter for Removal of Impulse Noise by Using Fuzzy Logic

Filter for Removal of Impulse Noise by Using Fuzzy Logic

... a noise reduction algorithm should adapt itself to the spatial ...context. Noise smoothing and edge enhancement are inherently conflicting processes, since smoothing a region might destroy an edge, while ... See full document

5

A Fourier Extension Based Algorithm for Impulse Noise Removal

A Fourier Extension Based Algorithm for Impulse Noise Removal

... the impulse detector and the noise filter are applied progressively in iterative ...algorithm based on long-range correlation (LRC) is ...the noise disturbed ...an adaptive rank-ordered ... See full document

5

Detection of Renal Tumours using Artificial Neural Network and Image Processing of CT Scan

Detection of Renal Tumours using Artificial Neural Network and Image Processing of CT Scan

... a noise removal strategy utilizing a hybrid filter and Contrast Limited adaptive histogram equalization ...is based on a region growing procedure and is an iterative, automatic and ... See full document

7

Improved hybrid decision based switching median filter using soft computing

Improved hybrid decision based switching median filter using soft computing

... for noise reduction have been developed, ...control based filter from. Fuzzy filters eliminate impulse noise ...for impulse noise removal but they were unable to preserve ... See full document

7

A Decision Tree Based Denoising Method for Removal of Impulse Noise in Images Processing

A Decision Tree Based Denoising Method for Removal of Impulse Noise in Images Processing

... 1. ISOLATION MODULE:Isolation module to decide whether the pixel value is in a smooth region. If the result is negative, the current pixel belongs to noisy free. Otherwise current pixel might be noisy pixel or just ... See full document

6

Analysis of Image Noise Removal Methodologies for High Density Impulse Noise

Analysis of Image Noise Removal Methodologies for High Density Impulse Noise

... Image noise removal is most important pre-processing step of image ...noise removal. In this paper, we have study about the different methods based on non-linear filter to remove the ... See full document

7

Efficient Removal of Impulse Noise in Digital Images

Efficient Removal of Impulse Noise in Digital Images

... Conventional median filtering approaches apply the median operation to each pixel unconditionally whether it is uncorrupted or corrupted. As a result, even the uncorrupted pixels are filtered and this causes degradation ... See full document

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