scholarly journals Adaptive Sequentially Weighted Median Filter for Image Highly Corrupted by Impulse Noise

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 158545-158556 ◽  
Author(s):  
Jiayi Chen ◽  
Yinwei Zhan ◽  
Huiying Cao
Keyword(s):  
Impulse Noise ◽  
Median Filter ◽  
Weighted Median ◽  
Weighted Median Filter

Application of Improved Median Filtering Algorithm to Image De-Noising

2014 ◽  
Vol 998-999 ◽  
pp. 838-841
Author(s):  
Wen Long Jiang ◽  
Guang Lin Li ◽  
Wei Bing Luo
Keyword(s):  
Impulse Noise ◽  
Median Filter ◽  
Median Filtering ◽  
Real Time Processing ◽  
Time Processing ◽  
Filtering Algorithm ◽  
Weighted Median ◽  
The Mean ◽  
Weighted Median Filter ◽  
Mean Filtering

Based on the shortcomings of standard median filtering and combined with the mean filtering, this paper puts forward two improved median filtering algorithms referred as the weighted fast median filtering algorithm and the weighted adaptive median filtering algorithm. The experiment results with MATLAB show that weighted fast median filtering algorithm has a significant effect on low-density impulse noise, and accelerates the speed of real-time processing. The weighted median filter could effectively eliminate the high-density impulse noise from polluted images, and better maintains the details of the original image.

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).

scholarly journals Adaptive Weighted Median Filter For effective Impulse Noise Filtering

2003 ◽  
Vol 10 (ASAT CONFERENCE) ◽  
pp. 1-13
Author(s):  
Mohiy Hadhoud ◽  
Mohamed EI-Latif ◽  
Ehsan Sabek ◽  
Hossam Diab
Keyword(s):  
Impulse Noise ◽  
Median Filter ◽  
Noise Filtering ◽  
Weighted Median ◽  
Weighted Median Filter
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