A novel wavelet thresholding rule for speckle reduction from ultrasound images
The speckle noise is the major area of concern in ultrasound imaging. Speckle degrades the speed and accuracy of subsequent image processing tasks such as segmentation, description etc. But reduction of speckle may cause blurring or loss of edges and important features. In our work, we have employed...
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| Format: | Article |
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Springer
2022-07-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157820304894 |
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| author | Leena Jain Palwinder Singh |
| author_facet | Leena Jain Palwinder Singh |
| author_sort | Leena Jain |
| collection | DOAJ |
| description | The speckle noise is the major area of concern in ultrasound imaging. Speckle degrades the speed and accuracy of subsequent image processing tasks such as segmentation, description etc. But reduction of speckle may cause blurring or loss of edges and important features. In our work, we have employed a novel thresholding rule based on wavelet transform for speckle reduction from ultrasound images. The wavelet transform performs multi-scale analysis of the given image by treating different frequency components present in an image separately. The experiment results exhibit that the proposed thresholding rule gives better results for speckle reduction, edge preservation and feature preservation for medical ultrasound images, as compared with the existing thesholding rules. |
| format | Article |
| id | doaj-art-1fd224a4a8ea4c3ba4511a3a31d7ab3f |
| institution | Kabale University |
| issn | 1319-1578 |
| language | English |
| publishDate | 2022-07-01 |
| publisher | Springer |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj-art-1fd224a4a8ea4c3ba4511a3a31d7ab3f2025-08-20T03:48:36ZengSpringerJournal of King Saud University: Computer and Information Sciences1319-15782022-07-013474461447110.1016/j.jksuci.2020.10.009A novel wavelet thresholding rule for speckle reduction from ultrasound imagesLeena Jain0Palwinder Singh1Global Institute of Management and Emerging Technologies, Amritsar, IndiaI.K.G Punjab Technical University, Kapurthala, India; Corresponding author.The speckle noise is the major area of concern in ultrasound imaging. Speckle degrades the speed and accuracy of subsequent image processing tasks such as segmentation, description etc. But reduction of speckle may cause blurring or loss of edges and important features. In our work, we have employed a novel thresholding rule based on wavelet transform for speckle reduction from ultrasound images. The wavelet transform performs multi-scale analysis of the given image by treating different frequency components present in an image separately. The experiment results exhibit that the proposed thresholding rule gives better results for speckle reduction, edge preservation and feature preservation for medical ultrasound images, as compared with the existing thesholding rules.http://www.sciencedirect.com/science/article/pii/S1319157820304894Speckle noiseUltrasound imagesWavelet transformThresholding |
| spellingShingle | Leena Jain Palwinder Singh A novel wavelet thresholding rule for speckle reduction from ultrasound images Journal of King Saud University: Computer and Information Sciences Speckle noise Ultrasound images Wavelet transform Thresholding |
| title | A novel wavelet thresholding rule for speckle reduction from ultrasound images |
| title_full | A novel wavelet thresholding rule for speckle reduction from ultrasound images |
| title_fullStr | A novel wavelet thresholding rule for speckle reduction from ultrasound images |
| title_full_unstemmed | A novel wavelet thresholding rule for speckle reduction from ultrasound images |
| title_short | A novel wavelet thresholding rule for speckle reduction from ultrasound images |
| title_sort | novel wavelet thresholding rule for speckle reduction from ultrasound images |
| topic | Speckle noise Ultrasound images Wavelet transform Thresholding |
| url | http://www.sciencedirect.com/science/article/pii/S1319157820304894 |
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