Efficient parallelization on GPU of an image smoothing method based on a variational model
Medical imaging is fundamental for improvements in diagnostic accuracy. However, noise frequently corrupts the images acquired, and this can lead to erroneous diagnoses. Fortunately, image preprocessing algorithms can enhance corrupted images, particularly in noise smoothing and removal. In the medi...
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| Other Authors: | , , , |
| Format: | article |
| Language: | eng |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10216/121712 |
| Country: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/121712 |