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Joint image compression and encryption based on sparse Bayesian learning and bit-level 3D Arnold cat maps
Image compression and image encryption are two essential tasks in image processing. The former aims to reduce the cost for storage or transmission of images while the latter aims to change the positions or values of pixels to protect image content. Nowadays, an increasing number of researchers are f...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6860426/ https://ncbi.nlm.nih.gov/pubmed/31738772 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0224382 |
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