Abstract
This paper presents a curvelet-based approach on the image denoising in magnetic resonance imaging (MRI). The method is worth of examination, because it has not been tested so far in case of MRI. The results show how the Digital Curvelet Transform method can be used for the noise reduction. The analysis of the Signal to Noise Ratio (SNR), Normal to Mean value (NM) and edge detection quality is applied. The Digital Curvelet Transform application provides additional possibilities like image compression and image fusion, which could be also useful in the MRI application.
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© 2014 Springer International Publishing Switzerland
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Świebocka-Więk, J., Figiel, H. (2014). Application of the Digital Curvelet Transform for the Purpose of Image Denoising in MRI. In: Piętka, E., Kawa, J., Wieclawek, W. (eds) Information Technologies in Biomedicine, Volume 3. Advances in Intelligent Systems and Computing, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-319-06593-9_15
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DOI: https://doi.org/10.1007/978-3-319-06593-9_15
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06592-2
Online ISBN: 978-3-319-06593-9
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