On the Use of a Convolutional Neural Network to Predict Perceptual Quality of Images without Reference for Different Viewing Distances

Aladine Chetouani; Pedersen Marius

On the Use of a Convolutional Neural Network to Predict Perceptual Quality of Images without Reference for Different Viewing Distances

Aladine Chetouani ¹ Pedersen Marius ²

1 PRISME - Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique

2 ColorLab - The Norvegian Research Color Laboratory

Document type :

Conference papers

Domain :

Computer Science [cs] / Signal and Image Processing

Complete list of metadatas

https://hal-univ-orleans.archives-ouvertes.fr/hal-02384195
Contributor : Aladine Chetouani <>
Submitted on : Thursday, November 28, 2019 - 11:31:27 AM
Last modification on : Friday, November 29, 2019 - 2:32:36 AM

On the Use of a Convolutional Neural Network to Predict Perceptual Quality of Images without Reference for Different Viewing Distances

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On the Use of a Convolutional Neural Network to Predict Perceptual Quality of Images without Reference for Different Viewing Distances

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