Blar i NTNU Open på forfatter "Sendjasni, Abderrezzaq"
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Convolutional Neural Networks for Omnidirectional Image Quality Assessment: A Benchmark
Sendjasni, Abderrezzaq; Larabi, Mohamed-Chaker; Alaya Cheikh, Faouzi (Journal article; Peer reviewed, 2022) -
Objective and subjective quality assessment of 360-degree images
Sendjasni, Abderrezzaq (Doctoral theses at NTNU;2023:5, Doctoral thesis, 2023)360-degree images, a.k.a. omnidirectional images, are in the center of immersive media. With the increase in demands of the latter, mainly thanks to the offered interactive and immersive experience, it is paramount to ... -
On the improvement of 2D quality assessment metrics for omnidirectional images
Sendjasni, Abderrezzaq; Larabi, Mohamed-Chaker; Alaya Cheikh, Faouzi (Peer reviewed; Journal article, 2020)Subjective quality assessment remains the most reliable way to evaluate image quality while being tedious and money consuming. Therefore, objective quality evaluation ensures a trade-off by providing a computational approach ...