Zobrazeno 1 - 10
of 22 989
pro vyhledávání: '"[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing"'
Publikováno v:
SIAM/ASA Journal on Uncertainty Quantification
SIAM/ASA Journal on Uncertainty Quantification, 2023, 11 (2), pp.452-479. ⟨10.1137/21M1463367⟩
SIAM/ASA Journal on Uncertainty Quantification, 2023, 11 (2), pp.452-479. ⟨10.1137/21M1463367⟩
International audience; We continue studies of the uncertainty quantification problem in emission tomographies such aspositron emission tomography (PET) or single photon emission computed tomography (SPECT)when additional multimodal data (anatomical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f463b1c9ee6dea6b910bc28cfd7f7ac
https://doi.org/10.1137/21m1463367
https://doi.org/10.1137/21m1463367
Publikováno v:
Pattern Recognition Letters
Pattern Recognition Letters, 2023, 168, pp.93-99. ⟨10.1016/j.patrec.2023.03.004⟩
Pattern Recognition Letters, 2023, 168, pp.93-99. ⟨10.1016/j.patrec.2023.03.004⟩
International audience; Multispectral snapshot cameras fitted with a multispectral filter array (MSFA) acquire several spectral bands in one shot and provide a raw mosaic image in which a single channel value is available at each pixel. Texture featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48d9d1c7ca6bd112f7b8efaf8b3b63da
https://doi.org/10.1016/j.patrec.2023.03.004
https://doi.org/10.1016/j.patrec.2023.03.004
Publikováno v:
Image Processing On Line. 13:90-139
This work focuses on the reconstruction of two and three dimensional images of the concentration of paramagnetic species from electron paramagnetic resonance (EPR) measurements. A direct operator, modeling how the measurements are related to the para
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18951def8d3438388a7e8bc21e5f0b24
https://doi.org/10.5201/ipol.2023.414
https://doi.org/10.5201/ipol.2023.414
Publikováno v:
ICL GNSS 2023
ICL GNSS 2023, Jun 2023, Benicassim, Spain
ICL GNSS 2023, Jun 2023, Benicassim, Spain
International audience; In the Global Navigation Satellite System (GNSS) context, the growing number of available satellites has lead to many challenges when it comes to choosing the most accurate pseudorange contributions, given the strong impact of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e19d405092f84b982c9b3cbb438e7a2
https://hal.science/hal-04121074
https://hal.science/hal-04121074
Publikováno v:
ACM Transactions on Multimedia Computing, Communications and Applications
ACM Transactions on Multimedia Computing, Communications and Applications, 2023, 19 (5s), pp.1-20/175. ⟨10.1145/3588573⟩
ACM Transactions on Multimedia Computing, Communications and Applications, 2023, 19 (5s), pp.1-20/175. ⟨10.1145/3588573⟩
International audience; For over a decade, 3D objects are an increasingly popular form of media. It has become necessary and urgent to secure them during their transmission or archiving. In this article, we propose a new method to obtain a watermarke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b68b26e7f7392681af5b09e716551c3b
https://hal.science/hal-04126239
https://hal.science/hal-04126239
Autor:
Dutta, Sayantan, Nwigbo, Kenule Tuador, MICHETTI, Jerome, Georgeot, Bertrand, Pham, Duong-Hung, Kouamé, Denis, Basarab, Adrian
Publikováno v:
31st European Association for Signal Processing Conference (EURASIP 2023)
31st European Association for Signal Processing Conference (EURASIP 2023), Aalto University, Finland, Sep 2023, Helsinki, Finland. à paraître
31st European Association for Signal Processing Conference (EURASIP 2023), Aalto University, Finland, Sep 2023, Helsinki, Finland. à paraître
International audience; In this work, we address the problem of cone beam computed tomography (CBCT) image resolution enhancement by exploiting a newly introduced deep unrolled quantum denoiser, based on quantum interaction theory adapted to computat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4074::d2757f8823ffe54e0fccef4743ed730f
https://hal.science/hal-04138031
https://hal.science/hal-04138031
Publikováno v:
Pattern Recognition Letters
Pattern Recognition Letters, 2023, 165 (January), pp.98-106. ⟨10.1016/j.patrec.2022.12.004⟩
Pattern Recognition Letters, 2023, 165 (January), pp.98-106. ⟨10.1016/j.patrec.2022.12.004⟩
International audience; Hyperspectral imagery classification is a challenging task due to the large number of spectral bands, and low number of labeled samples. To overcome these issues, we propose a novel approach for hyperspectral image classificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f3c7c27d96a4b469d594453ff79ef18
https://doi.org/10.1016/j.patrec.2022.12.004
https://doi.org/10.1016/j.patrec.2022.12.004
Publikováno v:
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing, 2023, 71, pp.1435-1447. ⟨10.1109/TSP.2023.3266939⟩
IEEE Transactions on Signal Processing, 2023, 71, pp.1435-1447. ⟨10.1109/TSP.2023.3266939⟩
This article introduces new multiplicative updates for nonnegative matrix factorization with the $\beta$-divergence and sparse regularization of one of the two factors (say, the activation matrix). It is well known that the norm of the other factor (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1a9747717bc488f2de2a3769b5f23a3
https://doi.org/10.1109/tsp.2023.3266939
https://doi.org/10.1109/tsp.2023.3266939
Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks
Autor:
Gemine Vivone, Jocelyn Chanussot, Jin-Fan Hu, Ting-Zhu Huang, Tai-Xiang Jiang, Liang-Jian Deng
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Neural Networks and Learning Systems, 2022, 33 (12), pp.7251-7265. ⟨10.1109/TNNLS.2021.3084682⟩
IEEE Transactions on Neural Networks and Learning Systems, 2022, 33 (12), pp.7251-7265. ⟨10.1109/TNNLS.2021.3084682⟩
International audience; Hyperspectral images (HSIs) are of crucial importance in order to better understand features from a large number of spectral channels. Restricted by its inner imaging mechanism, the spatial resolution is often limited for HSIs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e509a5300ffb3497941baadc330f4c0
https://doi.org/10.1109/tnnls.2021.3084682
https://doi.org/10.1109/tnnls.2021.3084682
Publikováno v:
EUROPT 19th Workshop on Advances in Continuous Optimization
EUROPT 19th Workshop on Advances in Continuous Optimization, Jul 2022, Lisbonne, Portugal
EUROPT 19th Workshop on Advances in Continuous Optimization, Jul 2022, Lisbonne, Portugal
Sparse optimization-fitting data with a low-cardinality linear model-is addressed through the minimization of a cardinality-penalized least-squares function, for which dedicated branch-and-bound algorithms clearly outperform generic mixed-integerprog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c5ab926b1d76153645147234a78426ee
https://hal.science/hal-03661177v2/document
https://hal.science/hal-03661177v2/document