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

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.

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Publication Details

Journal
NTU Journal of Engineering and Technology
Published
2024-09-26
DOI
https://doi.org/10.56286/ntujet.v3i3.982
Citations
1
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
Field-Weighted Citation Impact
0.37
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article

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

Hiba-Allah Tariq
1 citations
NTU Journal of Engineering and Technology
Advanced Adaptive Filtering Techniques
0.37
article

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

Hiba-Allah Tariq
article en
1 citations

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.

NTU Journal of Engineering and TechnologyVol. 3(3)
Northern Technical University (IQ)
Openalex Percentile: Top 43%
Advanced Adaptive Filtering Techniques
0.37
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