Denosing 3D Ultrasound Images by Non-local Means Accelerated by GPU
In Ultrasound imaging, speckle noise is the most serious problem which affects the performance of images. Non-local mean filter is a nice method to remove the speckle noise, but the algorithm' computational complexity makes it's a highly time-consuming method. In many applications like ima...
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| Published in | 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation pp. 43 - 45 |
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| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
01.12.2011
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| Subjects | |
| Online Access | Get full text |
| ISBN | 9781457711527 1457711524 |
| DOI | 10.1109/ICBMI.2011.53 |
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| Summary: | In Ultrasound imaging, speckle noise is the most serious problem which affects the performance of images. Non-local mean filter is a nice method to remove the speckle noise, but the algorithm' computational complexity makes it's a highly time-consuming method. In many applications like image-guided surgical intervention, real-time de-noising is required. This paper implements a NLM method accelerated by GPU for real-time denoising of 3D ultrasound images. The experimental results show the proposed accelerated de-noising method is efficient in terms of denoising quality and real-time. |
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| ISBN: | 9781457711527 1457711524 |
| DOI: | 10.1109/ICBMI.2011.53 |