Compression quasi sans perte d'images satellites par filtrage de résidus

Autor: Bacchus, Pascal, Roumy, Aline, Fraisse, Renaud, Guillemot, Christine

Publikováno v: Actes du Gretsi 2023
GRETSI 2023-XXIXème Colloque Francophone de Traitement du Signal et des Images
GRETSI 2023-XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.1-5
XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI'23)
XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI'23), Aug 2023, Grenoble, France

National audience; We describe an end-to-end trainable neural network for satellite image compression. We first introduce a cost functioncombining a perceptual loss and the classical mean square error that significantly improves the performance of th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7b25b5e340e5956e9f4b5eeaefa982ec
https://hal.science/hal-04156801

Joint Compression and Demosaicking for Satellite Images

Autor: Bacchus, Pascal, Fraisse, Renaud, Roumy, Aline, Guillemot, Christine

Publikováno v: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP 2023-International Conference on Acoustics, Speech, and Signal Processing
ICASSP 2023-International Conference on Acoustics, Speech, and Signal Processing, Jun 2023, Rhodes (Grèce), Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10096011⟩
ICASSP 2023-International Conference on Acoustics, Speech, and Signal Processing, Jun 2023, Rhodes (Grèce), Greece. pp.1-5

International audience; Image sensors used in real camera systems are equipped with colour filter arrays which sample the light rays in different spectral bands. Each colour channel can thus be obtained separately by considering the corresponding col

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cd4faf24eb69f5edd76c8b2a2686351
https://hal.science/hal-04056997

Quasi Lossless Satellite Image Compression

Autor: Bacchus, Pascal, Fraisse, Renaud, Roumy, Aline, Guillemot, Christine

Publikováno v: IGARSS 2022-International Geoscience and Remote Sensing Symposium
IGARSS 2022-International Geoscience and Remote Sensing Symposium, Jul 2022, Kuala Lumpur, Indonesia. pp.1-4, ⟨10.1109/IGARSS46834.2022.9883135⟩

International audience; We describe an end-to-end trainable neural network for satellite image compression. The proposed approach builds upon an image compression scheme based on variational autoencoders with a learned hyper-prior that captures depen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0082da737b0dea1eb651087ffc94210e
https://inria.hal.science/hal-03807986v2/file/IGARSS_2022_BACCHUS.pdf

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