A Novel Ranking Algorithm of Enhanced Images using a Convolutional Neural Network and a Saliency-based Patch Selection Scheme

Aladine Chetouani 1 Mohammed Qureshi 2 Mohamed Deriche 3 Azeddine Beghdadi 4
1 PRISME - Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique
2 KSU - King Saud University [Riyadh]
3 Electrical Engineering Department
4 L2TI - Laboratoire de Traitement et Transport de l'Information
Document type :
Conference papers
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https://hal-univ-orleans.archives-ouvertes.fr/hal-02384224
Contributor : Aladine Chetouani <>
Submitted on : Thursday, November 28, 2019 - 11:38:04 AM
Last modification on : Friday, November 29, 2019 - 2:32:36 AM

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  • HAL Id : hal-02384224, version 1

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UNIV-ORLEANS | L2TI | GALILE | UNIV-PARIS13 | PRISME-CVL | INSA-GROUPE | USPC | INSA-CVL

Citation

Aladine Chetouani, Mohammed Qureshi, Mohamed Deriche, Azeddine Beghdadi. A Novel Ranking Algorithm of Enhanced Images using a Convolutional Neural Network and a Saliency-based Patch Selection Scheme. 2019 Eleventh International Conference on Quality of Multimedia Experience (IEEE QOMEX), 2019, Berlin, Germany. ⟨hal-02384224⟩

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