A Modified Weighted Based Filter for Removal of Random Impulse Noise (MWB)

2011 ◽  
Author(s):  
J.K. Mandal ◽  
Aparna Sarkar
Keyword(s):  
Impulse Noise ◽  
Random Impulse

A fuzzy filter for the removal of random impulse noise in image sequences

2011 ◽  
Vol 29 (6) ◽  
pp. 407-419 ◽  
Author(s):  
Tom Mélange ◽  
Mike Nachtegael ◽  
Stefan Schulte ◽  
Etienne E. Kerre
Keyword(s):  
Impulse Noise ◽  
Image Sequences ◽  
Fuzzy Filter ◽  
Random Impulse

Speech Random Impulse Noise Elimination Method Based on Robust PCA Inexact ALM Algorithm

2021 ◽  
pp. 278-285
Author(s):  
Haiyun Zhang ◽  
Jian Dong ◽  
Jiancheng Zhou ◽  
Li Zhang ◽  
Pengjun Hu ◽  
...  
Keyword(s):  
Impulse Noise ◽  
Robust Pca ◽  
Noise Elimination ◽  
Elimination Method ◽  
Random Impulse

scholarly journals An Accession for Image Denoising by Multiple Filter and Correlative Examination for Random Impulse Noise

2019 ◽  
Vol 8 (3) ◽  
pp. 215-218
Keyword(s):  
Image Denoising ◽  
Impulse Noise ◽  
Median Filter ◽  
High Quality ◽  
High Quality Image ◽  
Quality Image ◽  
Dataset Size ◽  
Weighted Median ◽  
Weighted Median Filter ◽  
Random Impulse

Denoising an image is a significant problem in the processing of digital images. Any impulse noise damages the image and the aim of denoising is to remove noise and restore the high-quality image as much as possible. This paper aims to develop a method to discriminate between corrupted and uncorrupted pixels and develop a novel filter to denoise the image. It is also necessary to consider images with different level of noise of various applications to develop an optimal system to remove the noise for further processing. In this paper different filtering techniques such as Median-Filter (MF), Weighted -Median-Filter (WMF),Centre-Weighted Median filter (CWMF), and adaptive centre weighted median filter (ACWMF) are used for denoising, also a novel filter Asymmetric Trimmed Median Filter(ATMF) is designed which outperforms compared to the filters designed earlier. Experimentation is carried by considering the dataset size of 700 noisy images. The average PSNR value of proposed system is 28.12%(DB).

Fuzzy random impulse noise reduction method

2007 ◽  
Vol 158 (3) ◽  
pp. 270-283 ◽  
Author(s):  
Stefan Schulte ◽  
Valérie De Witte ◽  
Mike Nachtegael ◽  
Dietrich Van der Weken ◽  
Etienne E. Kerre
Keyword(s):  
Noise Reduction ◽  
Impulse Noise ◽  
Reduction Method ◽  
Random Impulse ◽  
Fuzzy Random
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