Bonanno, Lilla and Bramanti, Alessia and Bramanti, Placido and Lanzafame, Pietro (2017) Wavelet algorithm for Magnetic Resonance Imaging. In: Atti della Accademia Peloritana dei Pericolanti - II Classe di Scienze Medico-Biologiche. Accademia Peloritana dei Pericolanti, Messina, pp. 1-7. ISBN 978-88-85864-02-3
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Abstract
Compressing an image, namely reducing the amount of information needed to display the image itself, is a major issue in the development of applications, such as multimedia. Therefore the study of image compression approaches is of fundamental importance. In the present study, we developed a novel algorithm which is able to compress and to reconstruct an image by applying a wavelet transformation without compromising the diagnostic quality of the image itself. We showed that, according to the employed wavelet (Daubachies, Coiflet e Biorthogonal), the wavelet providing the best compression belongs to the third order of the db2 family, as indicated by the Compression Ratio (CR) is the 95%.
| Item Type: | Book Section |
|---|---|
| Subjects: | M.U.S. - Miscellanea > Atti Accademia Peloritana > Classe di Scienze Medico-Biologiche > 2013 M.U.S. - Miscellanea > Atti Accademia Peloritana > Classe di Scienze Medico-Biologiche |
| Depositing User: | Mr Nunzio Femminò |
| Date Deposited: | 18 Jan 2018 15:14 |
| Last Modified: | 18 Jan 2018 15:14 |
| URI: | http://cab.unime.it/mus/id/eprint/5246 |
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