A Novel Ranking Algorithm of Enhanced Images using a Convolutional Neural Network and a Saliency-based Patch Selection Scheme - Université d'Orléans Access content directly
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A Novel Ranking Algorithm of Enhanced Images using a Convolutional Neural Network and a Saliency-based Patch Selection Scheme

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Signal and Image Processing

Aladine Chetouani  : Connect in order to contact the contributor

https://hal-univ-orleans.archives-ouvertes.fr/hal-02384224

Submitted on : Thursday, November 28, 2019-11:38:04 AM

Last modification on : Tuesday, October 12, 2021-5:20:52 PM

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hal-02384224 , version 1 (28-11-2019)

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  • HAL Id : hal-02384224 , version 1

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Aladine Chetouani, Mohammed I 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), Selected among the six best papers, 2019, Berlin, Germany. ⟨hal-02384224⟩

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