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DC Field | Value | Language |
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dc.contributor.author | Amamra, Nour El Houda | - |
dc.contributor.author | Ameur Berrahou, Sarra | - |
dc.date.accessioned | 2024-02-22T14:32:09Z | - |
dc.date.available | 2024-02-22T14:32:09Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | https://theses.univ-temouchent.edu.dz/opac_css/doc_num.php?explnum_id=1312 | en_US |
dc.identifier.uri | http://dspace.univ-temouchent.edu.dz/handle/123456789/2573 | - |
dc.description.abstract | In this paper, we are interested in first generation wavelets, in order to compress medical images in gray and color, and compression is used with loss, it is the most widespread The results obtained in medical images in gray level and color images show a visual and numerical superiority of the compression by our program (DWT sym7 DCT + arithmetic coder) compared to the other methods. These visual results .(Promoters are confirmed by evaluation parameters such as (PSNR, Tc | en_US |
dc.subject | DWT, PSNR, Tc, sym7 | en_US |
dc.title | Optimisation de la Compression d’Image Médicale par la Transformée de DWT Couplée par la DCT | en_US |
Appears in Collections: | Electronique |
Files in This Item:
File | Description | Size | Format | |
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Optimisation de la Compression d’Image Médicale par la Transformée.pdf | 5,47 MB | Adobe PDF | View/Open |
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