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Joint Demosaicing and Fusion of Multiresolution Coded Acquisitions: A Unified Image Formation and Reconstruction Method

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  • معلومة اضافية
    • Contributors:
      Institut de Planétologie et d'Astrophysique de Grenoble (IPAG); Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (Fédération OSUG)-Université Grenoble Alpes (UGA); GIPSA - Signal Images Physique (GIPSA-SIGMAPHY); Observatoire des Sciences de l'Univers de Grenoble (Fédération OSUG)-GIPSA Pôle Sciences des Données (GIPSA-PSD); Grenoble Images Parole Signal Automatique (GIPSA-lab); Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP); Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP); Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab); Université Grenoble Alpes (UGA)-Observatoire des Sciences de l'Univers de Grenoble (OSUG); Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ); King Abdullah University of Science and Technology Saudi Arabia (KAUST); ANR-20-ASTR-0006,FuMultiSPOC,FUsion MULTIspectral-imSPOC(2020)
    • بيانات النشر:
      CCSD
      IEEE
    • الموضوع:
      2023
    • Collection:
      Université Savoie Mont Blanc: HAL
    • نبذة مختصرة :
      International audience ; Novel optical imaging devices allow for hybrid acquisition modalities such as compressed acquisitions with locally different spatial and spectral resolutions captured by a single focal plane array. In this work, we propose to model the imaging camera system for a multiresolution coded acquisition (MRCA) in a unified framework, which includes conventional devices such as those based on spectral/color filter arrays, compressed coded apertures, and multiresolution sensing. We also propose a model-based image reconstruction algorithm performing a joint demosaicing and fusion (JoDeFu) of any acquisition modeled in the MRCA framework. The JoDeFu reconstruction algorithm solves an inverse problem with a proximal splitting technique and is able to reconstruct an uncompressed image datacube at the highest available spatial and spectral resolution. An implementation of the code is available at https://github.com/danaroth83/jodefu .
    • Relation:
      info:eu-repo/semantics/altIdentifier/arxiv/2209.01455; ARXIV: 2209.01455
    • الرقم المعرف:
      10.1109/tci.2023.3261503
    • الدخول الالكتروني :
      https://hal.science/hal-03780938
      https://hal.science/hal-03780938v2/document
      https://hal.science/hal-03780938v2/file/main.pdf
      https://doi.org/10.1109/tci.2023.3261503
    • Rights:
      http://creativecommons.org/licenses/by-nc/ ; info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.6CEFB519