Nouvelles approches de restauration d'images inspirées des concepts de la mécanique quantique

Autor: Dutta, Sayantan

Publikováno v: Library and information sciences. Université Paul Sabatier-Toulouse III, 2023. English. ⟨NNT : 2023TOU30002⟩

Decomposition of digital images into other basis or dictionaries than time or space domains is a very common and effective approach in image processing and analysis. Such a decomposition is commonly obtained using fixed transformations (e.g., Fourier

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______4074::0274443723c3855dcfa9b36c66eb6d55
https://theses.hal.science/tel-04047862/document

Quantum Denoising-Based Super-Resolution Algorithm Applied to Dental Tomography Images

Autor: Dutta, Sayantan, Nwigbo, Kenule Tuador, Michetti, Jérôme, Pham, Duong-Hung, Georgeot, Bertrand, Basarab, Adrian, Kouamé, Denis

Publikováno v: à paraître
International Symposium on Biomedical Imaging (ISBI 2022)
International Symposium on Biomedical Imaging (ISBI 2022), Mar 2022, Kolkata, India

International audience; Enhancing the spatial resolution of an image is an important field of research in a number of applications including medical ones. In this paper, we address the super-resolution (SR) problem exploiting a newly introduced adapt

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e35ef13680c8c14150195f99c3e5e5cb
https://doi.org/10.1109/isbi52829.2022.9761623

Image Denoising Inspired by Quantum Many-Body physics

Autor: Adrian Basarab, Sayantan Dutta, Bertrand Georgeot, Denis Kouame

Publikováno v: 2021 IEEE International Conference on Image Processing (ICIP) ; Electronic ISBN:978-1-6654-4115-5 ; Electronic ISSN: 2381-8549
IEEE International Conference on Image Processing (ICIP 2021)
IEEE International Conference on Image Processing (ICIP 2021), IEEE, Sep 2021, Anchorage, France. pp.1619-1623, ⟨10.1109/ICIP42928.2021.9506794⟩

Decomposing an image through Fourier, DCT or wavelet transforms is still a common approach in digital image processing, in number of applications such as denoising. In this context, data-driven dictionaries and in particular exploiting the redundancy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2fc4290b864796d496e317f41c07ff9
https://hal.archives-ouvertes.fr/hal-03331112

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