Blar i NTNU Open på forfatter "Larabi, Mohamed-Chaker"
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A Survey of Stereoscopic 3D Just Noticeable Difference Models
Fan, Yu; Larabi, Mohamed-Chaker; Alaya Cheikh, Faouzi; Fernandez-Maloigne, Christine (Journal article; Peer reviewed, 2019)Just noticeable difference (JND) for stereoscopic 3D content reflects the maximum tolerable distortion; it corresponds to the visibility threshold of the asymmetric distortions in the left and right contents. The 3D-JND ... -
Convolutional Neural Networks for Omnidirectional Image Quality Assessment: A Benchmark
Sendjasni, Abderrezzaq; Larabi, Mohamed-Chaker; Alaya Cheikh, Faouzi (Journal article; Peer reviewed, 2022) -
Just Noticeable Difference Model for Asymmetrically Distorted Stereoscopic Images
Fan, Yu; Larabi, Mohamed-Chaker; Alaya Cheikh, Faouzi; Fernandez-Maloigne, Christine (Peer reviewed; Journal article, 2019)In this paper, we propose a saliency-weighted stereoscopic JND (SSJND) model constructed based on psychophysical experiments, accounting for binocular disparity and spatial masking effects of the human visual system (HVS). ... -
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 ... -
Quality assessment of stereoscopic 3D content based on binocular perception
FAN, Yu (Doctoral theses at NTNU;2019:126, Doctoral thesis, 2019)