- PhD Student
Biography
I am currently a second-year PhD student in the Graphics and Interaction (Rainbow) Group at the University of Cambridge under the supervision of Dr Rafał Mantiuk. My research is primarily focused on applications of Human Vision and Machine Learning to perceptual video quality assessment. The overall goal is to develop VQA algorithms which can be used to optimize the delivery of both SDR and HDR content under varying display and viewing conditions.
Prior to my PhD, I studied at the National Institute of Telecommunication and ICT where I received my engineering degree in Telecommunications and Digital Technologies. During my undergraduate studies, I worked under the supervision of Dr Sid Ahmed Fezza and Dr Hamidouche Wassim on Image Quality Assessment Algorithms.
Teaching
Lent 2023 and 2024
Machine Learning and Real World Data (MLRD) - PartIA
Michaelmas 2023
Introductions to Graphics - PartIA
Publications
Dounia Hammou, Lukáš Krasula, Christos G. Bampis, Zhi Li, Rafał K. Mantiuk. Image quality assessment across viewing distances: A comparison study of CSF-based and rescaling-based metrics. Human Vision and Electronic Imaging Conference, IS&T International Symposium on Electronic Imaging (EI). 2024.
Maliha Ashraf, Alejandro Sztrajman, Dounia Hammou, Rafał K. Mantiuk. Color calibration methods for OLED displays. Color Imaging XXIX Conference, IS&T International Symposium on Electronic Imaging (EI). 2024.
Maliha Ashraf, Dounia Hammou, Rafał K. Mantiuk. Forward and inverse colour calibration models for OLED displays. Color and Imaging Conference, Society for Imaging Science & Technology. 2023.
Dounia Hammou, Lukáš Krasula, Christos G. Bampis, Zhi Li, Rafał K. Mantiuk. Comparison of metrics for predicting image and video quality at varying viewing distances. 2023 IEEE international workshop on multimedia signal processing (MMSP). IEEE, 2023.
Rafał K. Mantiuk, Dounia Hammou, Param Hanji. HDR-VDP-3: A multi-metric for predicting image differences, quality and contrast distortions in high dynamic range and regular content. arXiv preprint arXiv:2304.13625. 2023.
Dounia Hammou, Sid Ahmed Fezza, Wassim Hamidouche. EGB: Image Quality Assessment Based on Ensemble of Gradient Boosting. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021, pp. 541-549.
