Low light image Enhancement

dc.contributor.authorSaadi, Noor El-Houda
dc.contributor.authorSaadi, Hiba
dc.contributor.authorReporter: Ghemougui, Abdessattar
dc.date.accessioned2022-07-20T10:18:18Z
dc.date.available2022-07-20T10:18:18Z
dc.date.issued2022-06-10
dc.description.abstractImages taken in low light suffer from poor visibility and noise. A low light image enhancing strategy based on Retinex and histogram equaliza tion is presented in this study. Retinex employs two algorithms: single scale Retinex (SSR) and Multi Scale Retinex (MSR), both of which are based on experimental data and has no a unived mathematical model. Brightness preserving bi-histogram equalization (BBHE) and dualistic sub image histogram equalization are two algorithms for histogram equaliza tion (DSIHE). Finally, we used Retinex-based algorithms since they boost contrast while also improving visibility.en_US
dc.identifier.urihttps://repository.univ-msila.dz/handle/123456789/30833
dc.language.isoenen_US
dc.publisherUNIVERSITY of M'SILAen_US
dc.subjectImage enhancement, Retinax, histogram equalization .en_US
dc.titleLow light image Enhancementen_US
dc.typeThesisen_US

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