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A novel wavelet thresholding rule for speckle reduction from ultrasound images
- Source :
- Journal of King Saud University - Computer and Information Sciences. 34:4461-4471
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- 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.
- Subjects :
- General Computer Science
Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Wavelet transform
020206 networking & telecommunications
Speckle noise
Image processing
02 engineering and technology
Thresholding
Reduction (complexity)
Speckle pattern
Feature (computer vision)
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Segmentation
Computer vision
Artificial intelligence
business
Subjects
Details
- ISSN :
- 13191578
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- Journal of King Saud University - Computer and Information Sciences
- Accession number :
- edsair.doi...........722ad213e64db18a1f0312e63d0139c7