ºÝºÝߣshows by User: HadjYoucefMohamedAmi / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: HadjYoucefMohamedAmi / Sun, 06 Nov 2022 13:42:00 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: HadjYoucefMohamedAmi Journ_e_des_Doctorants__JDD_.pdf https://fr.slideshare.net/HadjYoucefMohamedAmi/journedesdoctorantsjddpdf journedesdoctorantsjdd-221106134200-9ccd70d9
Présentation lors de la journées des doctorants de l'Ecole Centrale Supélec]]>
Présentation lors de la journées des doctorants de l'Ecole Centrale Supélec]]> Sun, 06 Nov 2022 13:42:00 GMT https://fr.slideshare.net/HadjYoucefMohamedAmi/journedesdoctorantsjddpdf HadjYoucefMohamedAmi@slideshare.net(HadjYoucefMohamedAmi) Journ_e_des_Doctorants__JDD_.pdf HadjYoucefMohamedAmi Présentation lors de la journées des doctorants de l'Ecole Centrale Supélec <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/journedesdoctorantsjdd-221106134200-9ccd70d9-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Présentation lors de la journées des doctorants de l&#39;Ecole Centrale Supélec
from Amine Hadj-Youcef
]]> 4 0 https://cdn.slidesharecdn.com/ss_thumbnails/journedesdoctorantsjdd-221106134200-9ccd70d9-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 EUSIPCO_2018_ºÝºÝߣs.pdf /slideshow/eusipco2018slidespdf/254029308 eusipco2018slides-221106134158-bdd6babc
ºÝºÝߣs used during the conference EUSIPCO 2018]]>
ºÝºÝߣs used during the conference EUSIPCO 2018]]> Sun, 06 Nov 2022 13:41:58 GMT /slideshow/eusipco2018slidespdf/254029308 HadjYoucefMohamedAmi@slideshare.net(HadjYoucefMohamedAmi) EUSIPCO_2018_ºÝºÝߣs.pdf HadjYoucefMohamedAmi ºÝºÝߣs used during the conference EUSIPCO 2018 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eusipco2018slides-221106134158-bdd6babc-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs used during the conference EUSIPCO 2018
EUSIPCO_2018_ºÝºÝߣs.pdf from Amine Hadj-Youcef
]]> 10 0 https://cdn.slidesharecdn.com/ss_thumbnails/eusipco2018slides-221106134158-bdd6babc-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 EUSIPCO_2017__10349172xthsfvtvhmwx_.pdf https://fr.slideshare.net/slideshow/eusipco201710349172xthsfvtvhmwxpdf/254029307 eusipco201710349172xthsfvtvhmwx-221106134158-1abe457e
ºÝºÝߣ used during the conference EUSIPCO 2017]]>
ºÝºÝߣ used during the conference EUSIPCO 2017]]> Sun, 06 Nov 2022 13:41:58 GMT https://fr.slideshare.net/slideshow/eusipco201710349172xthsfvtvhmwxpdf/254029307 HadjYoucefMohamedAmi@slideshare.net(HadjYoucefMohamedAmi) EUSIPCO_2017__10349172xthsfvtvhmwx_.pdf HadjYoucefMohamedAmi ºÝºÝߣ used during the conference EUSIPCO 2017 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eusipco201710349172xthsfvtvhmwx-221106134158-1abe457e-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣ used during the conference EUSIPCO 2017
from Amine Hadj-Youcef
]]> 18 0 https://cdn.slidesharecdn.com/ss_thumbnails/eusipco201710349172xthsfvtvhmwx-221106134158-1abe457e-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Journ_e_des_th_sards_2017.pdf https://fr.slideshare.net/slideshow/journedesthsards2017pdf/254029306 journedesthsards2017-221106134157-bc3395c5
Présentation lors de la journée des thésards a l'Ecole Centrale Supelec]]>
Présentation lors de la journée des thésards a l'Ecole Centrale Supelec]]> Sun, 06 Nov 2022 13:41:57 GMT https://fr.slideshare.net/slideshow/journedesthsards2017pdf/254029306 HadjYoucefMohamedAmi@slideshare.net(HadjYoucefMohamedAmi) Journ_e_des_th_sards_2017.pdf HadjYoucefMohamedAmi Présentation lors de la journée des thésards a l'Ecole Centrale Supelec <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/journedesthsards2017-221106134157-bc3395c5-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Présentation lors de la journée des thésards a l&#39;Ecole Centrale Supelec
from Amine Hadj-Youcef
]]> 6 0 https://cdn.slidesharecdn.com/ss_thumbnails/journedesthsards2017-221106134157-bc3395c5-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Restoration from Multispectral Blurred Data withNon-Stationary Instrument Response https://fr.slideshare.net/slideshow/restoration-from-multispectral-blurred-data-withnonstationary-instrument-response/241445760 eusipco201710349172xthsfvtvhmwx-210116165718
In this presentation we propose an approach of image restoration from multispectral data provided by an imaging system. We specifically address two topics: (i) Development of a multi-wavelength direct model for non-stationary instrument response that includes a spatial convolution and a spectral integration, (ii) Implementation of multispectral image restoration using a regularized least-square, based on a quadratic criterion and minimized by a gradient algorithm. We test our approach on simulated data of the Mid-InfraRed Instrument IMager (MIRIM) of the James Webb Space Telescope (JWST). Our method shows a clear increase of spatial resolution compare to conventional methods.]]>
In this presentation we propose an approach of image restoration from multispectral data provided by an imaging system. We specifically address two topics: (i) Development of a multi-wavelength direct model for non-stationary instrument response that includes a spatial convolution and a spectral integration, (ii) Implementation of multispectral image restoration using a regularized least-square, based on a quadratic criterion and minimized by a gradient algorithm. We test our approach on simulated data of the Mid-InfraRed Instrument IMager (MIRIM) of the James Webb Space Telescope (JWST). Our method shows a clear increase of spatial resolution compare to conventional methods.]]> Sat, 16 Jan 2021 16:57:18 GMT https://fr.slideshare.net/slideshow/restoration-from-multispectral-blurred-data-withnonstationary-instrument-response/241445760 HadjYoucefMohamedAmi@slideshare.net(HadjYoucefMohamedAmi) Restoration from Multispectral Blurred Data withNon-Stationary Instrument Response HadjYoucefMohamedAmi In this presentation we propose an approach of image restoration from multispectral data provided by an imaging system. We specifically address two topics: (i) Development of a multi-wavelength direct model for non-stationary instrument response that includes a spatial convolution and a spectral integration, (ii) Implementation of multispectral image restoration using a regularized least-square, based on a quadratic criterion and minimized by a gradient algorithm. We test our approach on simulated data of the Mid-InfraRed Instrument IMager (MIRIM) of the James Webb Space Telescope (JWST). Our method shows a clear increase of spatial resolution compare to conventional methods. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eusipco201710349172xthsfvtvhmwx-210116165718-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this presentation we propose an approach of image restoration from multispectral data provided by an imaging system. We specifically address two topics: (i) Development of a multi-wavelength direct model for non-stationary instrument response that includes a spatial convolution and a spectral integration, (ii) Implementation of multispectral image restoration using a regularized least-square, based on a quadratic criterion and minimized by a gradient algorithm. We test our approach on simulated data of the Mid-InfraRed Instrument IMager (MIRIM) of the James Webb Space Telescope (JWST). Our method shows a clear increase of spatial resolution compare to conventional methods.
from Amine Hadj-Youcef
]]> 25 0 https://cdn.slidesharecdn.com/ss_thumbnails/eusipco201710349172xthsfvtvhmwx-210116165718-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Spatio-Spectral Multichannel Reconstruction from few Low-Resolution Multispectral Data /slideshow/spatiospectral-multichannel-reconstruction-from-few-lowresolution-multispectral-data/241445656 eusipcoslides2018-210116165124
This presentation deals with the reconstruction of a 3-D spatio-spectral object observed by a multispectral imaging system, where the original object is blurred with a spectral-variant PSF (Point Spread Function) and integrated over few broad spectral bands. In order to tackle this ill-posed problem, we propose a linear forward model that accounts for direct (or auto) channels and between (or cross) channels degradation, by modeling the imaging system response and the spectral distribution of the object with a piecewise linear function. Reconstruction based on regularization method is proposed, by enforcing spatial and spectral smoothness of the object. We test our approach on simulated data of the Mid-InfraRed Instrument (MIRI) Imager of the James Webb Space Telescope (JWST). Results on simulated multispectral data show a significant improvement over the conventional multichannel method.]]>
This presentation deals with the reconstruction of a 3-D spatio-spectral object observed by a multispectral imaging system, where the original object is blurred with a spectral-variant PSF (Point Spread Function) and integrated over few broad spectral bands. In order to tackle this ill-posed problem, we propose a linear forward model that accounts for direct (or auto) channels and between (or cross) channels degradation, by modeling the imaging system response and the spectral distribution of the object with a piecewise linear function. Reconstruction based on regularization method is proposed, by enforcing spatial and spectral smoothness of the object. We test our approach on simulated data of the Mid-InfraRed Instrument (MIRI) Imager of the James Webb Space Telescope (JWST). Results on simulated multispectral data show a significant improvement over the conventional multichannel method.]]> Sat, 16 Jan 2021 16:51:24 GMT /slideshow/spatiospectral-multichannel-reconstruction-from-few-lowresolution-multispectral-data/241445656 HadjYoucefMohamedAmi@slideshare.net(HadjYoucefMohamedAmi) Spatio-Spectral Multichannel Reconstruction from few Low-Resolution Multispectral Data HadjYoucefMohamedAmi This presentation deals with the reconstruction of a 3-D spatio-spectral object observed by a multispectral imaging system, where the original object is blurred with a spectral-variant PSF (Point Spread Function) and integrated over few broad spectral bands. In order to tackle this ill-posed problem, we propose a linear forward model that accounts for direct (or auto) channels and between (or cross) channels degradation, by modeling the imaging system response and the spectral distribution of the object with a piecewise linear function. Reconstruction based on regularization method is proposed, by enforcing spatial and spectral smoothness of the object. We test our approach on simulated data of the Mid-InfraRed Instrument (MIRI) Imager of the James Webb Space Telescope (JWST). Results on simulated multispectral data show a significant improvement over the conventional multichannel method. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eusipcoslides2018-210116165124-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation deals with the reconstruction of a 3-D spatio-spectral object observed by a multispectral imaging system, where the original object is blurred with a spectral-variant PSF (Point Spread Function) and integrated over few broad spectral bands. In order to tackle this ill-posed problem, we propose a linear forward model that accounts for direct (or auto) channels and between (or cross) channels degradation, by modeling the imaging system response and the spectral distribution of the object with a piecewise linear function. Reconstruction based on regularization method is proposed, by enforcing spatial and spectral smoothness of the object. We test our approach on simulated data of the Mid-InfraRed Instrument (MIRI) Imager of the James Webb Space Telescope (JWST). Results on simulated multispectral data show a significant improvement over the conventional multichannel method.
Spatio-Spectral Multichannel Reconstruction from few Low-Resolution Multispectral Data from Amine Hadj-Youcef
]]> 26 0 https://cdn.slidesharecdn.com/ss_thumbnails/eusipcoslides2018-210116165124-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-HadjYoucefMohamedAmi-48x48.jpg?cb=1667742446 Senior Data scientist / Machine LEarning Engineer aminehy.github.io https://cdn.slidesharecdn.com/ss_thumbnails/journedesdoctorantsjdd-221106134200-9ccd70d9-thumbnail.jpg?width=320&height=320&fit=bounds HadjYoucefMohamedAmi/journedesdoctorantsjddpdf Journ_e_des_Doctorants... https://cdn.slidesharecdn.com/ss_thumbnails/eusipco2018slides-221106134158-bdd6babc-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/eusipco2018slidespdf/254029308 EUSIPCO_2018_ºÝºÝߣs.pdf https://cdn.slidesharecdn.com/ss_thumbnails/eusipco201710349172xthsfvtvhmwx-221106134158-1abe457e-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/eusipco201710349172xthsfvtvhmwxpdf/254029307 EUSIPCO_2017__10349172...