Bayesian Multispectral Videos Super Resolution - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Bayesian Multispectral Videos Super Resolution

Résumé

Due to hardware limitations, multispectral videos often exhibit significantly lower resolution compared to standard color videos. These videos capture images in multiple bands of the electromagnetic spectrum, providing valuable additional information that is not available in traditional RGB images. This paper proposes a Bayesian approach to estimate super resolved images from low-resolution spectral videos. We consider adjacent frames from a video sequence to provide a super-resolution image at a time. We include in our proposal the motion between adjacent frames and unlikely to the literature, we estimate the blur and noise while reconstructing the higher resolution image. Experimental results on spectral videos demonstrate the effectiveness of our approach in producing high-quality super resolved images.
Fichier non déposé

Dates et versions

hal-04440489 , version 1 (06-02-2024)

Identifiants

Citer

Abdelhamid Fsian, Jean-Baptiste Thomas, Jon Hardeberg, Pierre Gouton. Bayesian Multispectral Videos Super Resolution. 2023 11th European Workshop on Visual Information Processing (EUVIP), Sep 2023, Gjovik, Norway. pp.1-6, ⟨10.1109/EUVIP58404.2023.10323068⟩. ⟨hal-04440489⟩
19 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More