Kinan Abbas- Doctor of Engineering
- PostDoc Position at École Normale Supérieure de Lyon
Kinan Abbas
- Doctor of Engineering
- PostDoc Position at École Normale Supérieure de Lyon
Postdoctoral Researcher at ENS Lyon in collaboration with XmBauble and PULSALYS
About
8
Publications
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Introduction
I received my Bachelor’s degree in Informatics Engineering, Systems, and Computer Networks from Tishreen University, Syria, in 2015 and my Master’s degree from the same department in 2020.
I completed my Ph.D. in September 2024 at the Université du Littoral Côte d’Opale (ULCO), France, with the LISIC Laboratory. My research interests focus on low-rank matrix approximation and completion, inverse problems, and wavelet analysis with applications in hyperspectral imaging.
Current institution
Additional affiliations
July 2024 - present
Publications
Publications (8)
Miniaturized CMOS hyperspectral cameras utilizing Fabry-Perot Interferometers (FPIs) have emerged as a low-cost solution providing fast-acquisition miniaturized sensors well-suited for both in-field analysis and remote sensing. However, FPIs generate harmonics around each wavelength of interest, hindering the accuracy and reliability of spectral in...
With the recent advancements in design and processing speed, a new snapshot mosaic imaging sensor architecture (SSI) has been successfully developed, holding the potential to transform the way dynamic scenes are captured using miniaturized platforms. However, SSI systems encounter a core trade-off concerning spatial and spectral resolution due to t...
This paper presents novel unmixing and demosaicing methods for snapshot spectral imaging (SSI) systems utilizing Fabry-Perot filters. Unlike conventional approaches that perform unmixing after image restoration or demosaicing, our proposed methods leverage Fabry-Perot filter deconvolution and extend the “pure pixel” framework to the SSI sensor patc...
Recent technological advances in design and processing speed have successfully demonstrated a new snapshot mosaic imaging sensor architecture (SSI), allowing miniaturized platforms to efficiently acquire the spatio-spectral content of the dynamic scenes from a single exposure. However, SSI systems have a fundamental trade-off between spatial and sp...
Dans cet article, nous proposons une nouvelle méthode de démélange pour les systèmes d'imagerie spectrale « snapshot » (SSI) utilisant des filtres de Fabry-Perot. Ces caméras ne fournissent qu'une partie du contenu spectral observé et la stratégie classique consiste à réaliser le démélange après la restauration de l'image (ou dématriçage). Dans cet...
In this paper, we propose a new endmember estimation method for snapshot spectral imaging (SSI) systems using Fabry-Perot filters. Indeed, such systems only provide a part of the spectral content of a classical multi- or hyperspectral camera and restoring the full hyperspectral datacube from an SSI matrix is named ``demosaicing''. However, it was r...
Despite the massive development in cloud computing technologies to be in line with the evolution of the Internet of Things (IoT), cloud computing remains somewhat weak in handling applications that require real-time processing. Moreover, since most of the IoT applications are classified as real-time applications (such as augmented reality applicati...
