CT image denoising using locally adaptive shrinkage rule in tetrolet domain
In Computed Tomography (CT), image degradation such as noise and detail blurring is one of the universal problems due to hardware restrictions. The problem of noise in CT images can be solved by image denoising. The main aim of image denoising is to reduce the noise as well as preserve the important...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2018-01-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157816300155 |
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