Regeneration Filter: Enhancing Mosaic Algorithm for Near Salt & Pepper Noise Reduction
This paper presents a Regeneration filter for reducing near Salt-and-Pepper (nS&P) noise in images, designed for selective noise removal while simultaneously preserving structural details. Unlike conventional methods, the proposed filter eliminates the need for median or other filters, focusing...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/1/210 |
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| author | Ratko M. Ivković Ivana M. Milošević Zoran N. Milivojević |
| author_facet | Ratko M. Ivković Ivana M. Milošević Zoran N. Milivojević |
| author_sort | Ratko M. Ivković |
| collection | DOAJ |
| description | This paper presents a Regeneration filter for reducing near Salt-and-Pepper (nS&P) noise in images, designed for selective noise removal while simultaneously preserving structural details. Unlike conventional methods, the proposed filter eliminates the need for median or other filters, focusing exclusively on restoring noise-affected pixels through localized contextual analysis in the immediate surroundings. Our approach employs an iterative processing method, where additional iterations do not degrade the image quality achieved after the first filtration, even with high noise densities up to 97% spatial distribution. To ensure the results are measurable and comparable with other methods, the filter’s performance was evaluated using standard image quality assessment metrics. Experimental evaluations across various image databases confirm that our filter consistently provides high-quality results. The code is implemented in the R programming language, and both data and code used for the experiments are available in a public repository, allowing for replication and verification of the findings. |
| format | Article |
| id | doaj-art-19808ab4434c402c9da51557c60bc989 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-19808ab4434c402c9da51557c60bc9892025-01-10T13:21:14ZengMDPI AGSensors1424-82202025-01-0125121010.3390/s25010210Regeneration Filter: Enhancing Mosaic Algorithm for Near Salt & Pepper Noise ReductionRatko M. Ivković0Ivana M. Milošević1Zoran N. Milivojević2Department of Software Engineering, Faculty of Economics and Engineering Management in Novi Sad, Cvecarska 2, 21000 Novi Sad, SerbiaDepartment of Audio and Video Technologies, School of Electrical and Computer Engineering, Academy of Technical and Art Applied Studies, Vojvode Stepe 283, 11000 Belgrade, SerbiaThe Academy of Applied Technical and Preschool Studies, Aleksandra Medvedeva 20, 18000 Nis, SerbiaThis paper presents a Regeneration filter for reducing near Salt-and-Pepper (nS&P) noise in images, designed for selective noise removal while simultaneously preserving structural details. Unlike conventional methods, the proposed filter eliminates the need for median or other filters, focusing exclusively on restoring noise-affected pixels through localized contextual analysis in the immediate surroundings. Our approach employs an iterative processing method, where additional iterations do not degrade the image quality achieved after the first filtration, even with high noise densities up to 97% spatial distribution. To ensure the results are measurable and comparable with other methods, the filter’s performance was evaluated using standard image quality assessment metrics. Experimental evaluations across various image databases confirm that our filter consistently provides high-quality results. The code is implemented in the R programming language, and both data and code used for the experiments are available in a public repository, allowing for replication and verification of the findings.https://www.mdpi.com/1424-8220/25/1/210digital image processingnoise reductionregeneration filternear salt & pepper noisespatial density |
| spellingShingle | Ratko M. Ivković Ivana M. Milošević Zoran N. Milivojević Regeneration Filter: Enhancing Mosaic Algorithm for Near Salt & Pepper Noise Reduction Sensors digital image processing noise reduction regeneration filter near salt & pepper noise spatial density |
| title | Regeneration Filter: Enhancing Mosaic Algorithm for Near Salt & Pepper Noise Reduction |
| title_full | Regeneration Filter: Enhancing Mosaic Algorithm for Near Salt & Pepper Noise Reduction |
| title_fullStr | Regeneration Filter: Enhancing Mosaic Algorithm for Near Salt & Pepper Noise Reduction |
| title_full_unstemmed | Regeneration Filter: Enhancing Mosaic Algorithm for Near Salt & Pepper Noise Reduction |
| title_short | Regeneration Filter: Enhancing Mosaic Algorithm for Near Salt & Pepper Noise Reduction |
| title_sort | regeneration filter enhancing mosaic algorithm for near salt pepper noise reduction |
| topic | digital image processing noise reduction regeneration filter near salt & pepper noise spatial density |
| url | https://www.mdpi.com/1424-8220/25/1/210 |
| work_keys_str_mv | AT ratkomivkovic regenerationfilterenhancingmosaicalgorithmfornearsaltpeppernoisereduction AT ivanammilosevic regenerationfilterenhancingmosaicalgorithmfornearsaltpeppernoisereduction AT zorannmilivojevic regenerationfilterenhancingmosaicalgorithmfornearsaltpeppernoisereduction |