High noise Removal Using Weighted Median Filter of Salt-and-Pepper Noise

Authors

DOI:

https://doi.org/10.56286/ntujet.v3i3.982

Keywords:

Matlab, Gray image, PSNR, MSE.

Abstract

The objective of this study is to determine whether or not the median and weighted median filters are efficient in removing salt and pepper noise from digital photographs. The picture quality may be severely diminished when there is a high degree of this noise. Because of its ease of use, efficiency, and capacity to maintain edge details, the median filter is often used for the purpose of noise reduction. On the other hand, it is less effective in environments that are notoriously loud. As an additional, more sophisticated option, the study recommends using a weighted median filter in order to circumvent this issue. By assigning greater weight to pixels with comparable intensity levels, this filter is extremely good at decreasing background noise. As a result, it is highly ideal for use in contexts that possess a high degree of background noise. According to the findings of the experiments, the suggested approach works much better than the conventional median filtering strategies when used to high-noise circumstances.

Author Biography

  • Hiba-Allah Tariq, Northern Technical University

    Authors: Mrs.  Hiba-Alla Tariq Abdullah is an engineer from Department of Computer Technology Engineering, she received bachelors from Northern Technical University 2001 / Engineering Technical College-Mosul-Iraq / Department of Computer Technology Engineering. She received Master degree from  Northern Technical University at 2020 in computer technology engineering / Engineering Technical College-Mosul-Iraq.

Additional Files

Published

2024-09-26

Issue

Section

Articles

How to Cite

[1]
“High noise Removal Using Weighted Median Filter of Salt-and-Pepper Noise”, NTU-JET, vol. 3, no. 3, Sep. 2024, doi: 10.56286/ntujet.v3i3.982.

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