Enhancing Image Quality via Robust Noise Filtering Using Redescending M-Estimators
In the field of image processing, noise represents an unwanted component that can occur during signal acquisition, transmission, and storage. In this paper, we introduce an efficient method that incorporates redescending M-estimators within the framework of Wiener estimation. The proposed approach e...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/25/8/1176 |
| _version_ | 1797584867157868544 |
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| author | Ángel Arturo Rendón-Castro Dante Mújica-Vargas Antonio Luna-Álvarez Jean Marie Vianney Kinani |
| author_facet | Ángel Arturo Rendón-Castro Dante Mújica-Vargas Antonio Luna-Álvarez Jean Marie Vianney Kinani |
| author_sort | Ángel Arturo Rendón-Castro |
| collection | DOAJ |
| description | In the field of image processing, noise represents an unwanted component that can occur during signal acquisition, transmission, and storage. In this paper, we introduce an efficient method that incorporates redescending M-estimators within the framework of Wiener estimation. The proposed approach effectively suppresses impulsive, additive, and multiplicative noise across varied densities. Our proposed filter operates on both grayscale and color images; it uses local information obtained from the Wiener filter and robust outlier rejection based on Insha and Hampel’s tripartite redescending influence functions. The effectiveness of the proposed method is verified through qualitative and quantitative results, using metrics such as PSNR, MAE, and SSIM. |
| first_indexed | 2024-03-10T23:58:48Z |
| format | Article |
| id | doaj.art-f1ff2070deda4aeea59cbb5e9ae27f2e |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-10T23:58:48Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-f1ff2070deda4aeea59cbb5e9ae27f2e2023-11-19T00:59:38ZengMDPI AGEntropy1099-43002023-08-01258117610.3390/e25081176Enhancing Image Quality via Robust Noise Filtering Using Redescending M-EstimatorsÁngel Arturo Rendón-Castro0Dante Mújica-Vargas1Antonio Luna-Álvarez2Jean Marie Vianney Kinani3Department of Computer Science, Tecnológico Nacional de México/CENIDET, Interior Internado Palmira S/N, Palmira, Cuernavaca 62490, MexicoDepartment of Computer Science, Tecnológico Nacional de México/CENIDET, Interior Internado Palmira S/N, Palmira, Cuernavaca 62490, MexicoDepartment of Computer Science, Tecnológico Nacional de México/CENIDET, Interior Internado Palmira S/N, Palmira, Cuernavaca 62490, MexicoUnidad Profesional Interdiciplinaria de Ingeniería Campus Hidalgo, Instituto Politécnico Nacional, Pachuca 07738, MexicoIn the field of image processing, noise represents an unwanted component that can occur during signal acquisition, transmission, and storage. In this paper, we introduce an efficient method that incorporates redescending M-estimators within the framework of Wiener estimation. The proposed approach effectively suppresses impulsive, additive, and multiplicative noise across varied densities. Our proposed filter operates on both grayscale and color images; it uses local information obtained from the Wiener filter and robust outlier rejection based on Insha and Hampel’s tripartite redescending influence functions. The effectiveness of the proposed method is verified through qualitative and quantitative results, using metrics such as PSNR, MAE, and SSIM.https://www.mdpi.com/1099-4300/25/8/1176noise filteringredescending M-estimatorimage processingmultiplicative noiseadditive noiseimpulsive noise |
| spellingShingle | Ángel Arturo Rendón-Castro Dante Mújica-Vargas Antonio Luna-Álvarez Jean Marie Vianney Kinani Enhancing Image Quality via Robust Noise Filtering Using Redescending M-Estimators Entropy noise filtering redescending M-estimator image processing multiplicative noise additive noise impulsive noise |
| title | Enhancing Image Quality via Robust Noise Filtering Using Redescending M-Estimators |
| title_full | Enhancing Image Quality via Robust Noise Filtering Using Redescending M-Estimators |
| title_fullStr | Enhancing Image Quality via Robust Noise Filtering Using Redescending M-Estimators |
| title_full_unstemmed | Enhancing Image Quality via Robust Noise Filtering Using Redescending M-Estimators |
| title_short | Enhancing Image Quality via Robust Noise Filtering Using Redescending M-Estimators |
| title_sort | enhancing image quality via robust noise filtering using redescending m estimators |
| topic | noise filtering redescending M-estimator image processing multiplicative noise additive noise impulsive noise |
| url | https://www.mdpi.com/1099-4300/25/8/1176 |
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