Adaptive Coded Aperture Design by Motion Estimation using Convolutional Sparse Coding in Compressive Spectral Video Sensing

Autor: Henry Arguello, C. Noriega-Wandurraga, Adrian Basarab, Jean-Yves Tourneret, Nelson Diaz

Publikováno v: 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec 2019, Le Gosier, Guadeloupe. pp.445-449, ⟨10.1109/CAMSAP45676.2019.9022649⟩
CAMSAP

International audience; This paper proposes a new motion estimation method based on convolutional sparse coding to adaptively design the colored-coded apertures in static and dynamic spectral videos. The motion in a spectral video is estimated from a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5961f49ef5ae47b5da6c44f1b279b955
https://oatao.univ-toulouse.fr/26272/