Denoising of Images using Wavelet Transform
Denoising images corrupted by noise is a critical task in image processing, where wavelet shrinkage methods have proven to be highly effective. Traditional approaches, such as the SCAD and Soft thresholding functions, are commonly used for noise suppression. This paper proposes a novel shrinkage fu...
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| Format: | Article |
| Language: | English |
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International Transactions on Electrical Engineering and Computer Science
2025-04-01
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| Series: | International Transactions on Electrical Engineering and Computer Science |
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| Online Access: | https://iteecs.com/index.php/iteecs/article/view/125 |
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| author | M. Koteswara Rao G. Chandra Reddy K. V. Rama Rao |
| author_facet | M. Koteswara Rao G. Chandra Reddy K. V. Rama Rao |
| author_sort | M. Koteswara Rao |
| collection | DOAJ |
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Denoising images corrupted by noise is a critical task in image processing, where wavelet shrinkage methods have proven to be highly effective. Traditional approaches, such as the SCAD and Soft thresholding functions, are commonly used for noise suppression. This paper proposes a novel shrinkage function designed to improve the accuracy of image denoising. The proposed function is evaluated under various methods, including the Top method, Universal method, and Translation Invariant method, to handle images contaminated by additive white Gaussian noise. Performance is benchmarked against SCAD, Soft thresholding, and Wiener filter methods using Root Mean Square Error (RMSE) and Peak Signal-to-Noise Ratio (PSNR) metrics. Experimental results demonstrate that the novel shrinkage function consistently achieves superior noise reduction and image quality restoration compared to existing methods, making it a robust solution for denoising applications.
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| format | Article |
| id | doaj-art-60952ba767ab48c8946f489fa37a02d0 |
| institution | OA Journals |
| issn | 2583-6471 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | International Transactions on Electrical Engineering and Computer Science |
| record_format | Article |
| series | International Transactions on Electrical Engineering and Computer Science |
| spelling | doaj-art-60952ba767ab48c8946f489fa37a02d02025-08-20T01:50:39ZengInternational Transactions on Electrical Engineering and Computer ScienceInternational Transactions on Electrical Engineering and Computer Science2583-64712025-04-014110.62760/iteecs.4.1.2025.125Denoising of Images using Wavelet TransformM. Koteswara Rao0https://orcid.org/0000-0003-3362-519XG. Chandra Reddy1https://orcid.org/0009-0001-5364-8850K. V. Rama Rao2Department of Electronics and Communication Engineering, Chalapathi Institute of Engineering and Technology, Guntur – 522034, IndiaDepartment of Electronics and Communication Engineering, Chalapathi Institute of Engineering and Technology, Guntur – 522034, IndiaDepartment of Electronics and Communication Engineering, Chalapathi Institute of Engineering and Technology, Guntur – 522034, India Denoising images corrupted by noise is a critical task in image processing, where wavelet shrinkage methods have proven to be highly effective. Traditional approaches, such as the SCAD and Soft thresholding functions, are commonly used for noise suppression. This paper proposes a novel shrinkage function designed to improve the accuracy of image denoising. The proposed function is evaluated under various methods, including the Top method, Universal method, and Translation Invariant method, to handle images contaminated by additive white Gaussian noise. Performance is benchmarked against SCAD, Soft thresholding, and Wiener filter methods using Root Mean Square Error (RMSE) and Peak Signal-to-Noise Ratio (PSNR) metrics. Experimental results demonstrate that the novel shrinkage function consistently achieves superior noise reduction and image quality restoration compared to existing methods, making it a robust solution for denoising applications. https://iteecs.com/index.php/iteecs/article/view/125Wavelet transformWavelet shrinkage denoisingNovel shrinkage functionTop methodWiener filter and translation invariant method |
| spellingShingle | M. Koteswara Rao G. Chandra Reddy K. V. Rama Rao Denoising of Images using Wavelet Transform International Transactions on Electrical Engineering and Computer Science Wavelet transform Wavelet shrinkage denoising Novel shrinkage function Top method Wiener filter and translation invariant method |
| title | Denoising of Images using Wavelet Transform |
| title_full | Denoising of Images using Wavelet Transform |
| title_fullStr | Denoising of Images using Wavelet Transform |
| title_full_unstemmed | Denoising of Images using Wavelet Transform |
| title_short | Denoising of Images using Wavelet Transform |
| title_sort | denoising of images using wavelet transform |
| topic | Wavelet transform Wavelet shrinkage denoising Novel shrinkage function Top method Wiener filter and translation invariant method |
| url | https://iteecs.com/index.php/iteecs/article/view/125 |
| work_keys_str_mv | AT mkoteswararao denoisingofimagesusingwavelettransform AT gchandrareddy denoisingofimagesusingwavelettransform AT kvramarao denoisingofimagesusingwavelettransform |