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 |
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| Přispěvatelé: | CoMputational imagINg anD viSion (IRIT-MINDS), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Laboratoire de Physique Théorique (LPT), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Fédération de recherche « Matière et interactions » (FeRMI), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), PHAM, Duong-Hung |
| Rok vydání: | 2022 |
| Předmět: |
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]
Plug-and-Play Super-Resolution [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing [INFO.INFO-IM] Computer Science [cs]/Medical Imaging [MATH.MATH-FA] Mathematics [math]/Functional Analysis [math.FA] ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Quantum denoiser Quantum many-body interaction Regularization by denoising Quantum Image Processing [MATH.MATH-FA]Mathematics [math]/Functional Analysis [math.FA] [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Computer Science::Computer Vision and Pattern Recognition [INFO.INFO-IM]Computer Science [cs]/Medical Imaging ADMM |
| Zdroj: | à paraître International Symposium on Biomedical Imaging (ISBI 2022) International Symposium on Biomedical Imaging (ISBI 2022), Mar 2022, Kolkata, India |
| DOI: | 10.1109/isbi52829.2022.9761623 |
| Popis: | 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 adaptive quantum denoiser which is based on quantum interaction theory applied in an imaging context. In particular, following recent developments, we impose this external denoiser as a prior function within the Plug-and-Play (PnP) and Regularization by Denoising (RED) approaches. This quantum denoiser combined with, on the one hand, a computationally efficient way of handing both decimation and blur operators, and on the other hand PnP and RED schemes, shows an original way of solving the SR problems. Dental computed tomography images are used to illustrate the potential of the proposed algorithms for high-resolution image retrieval. Numerical experiments show that the proposed methods provide comparable or slightly better results than existing methods. |
| Databáze: | OpenAIRE |
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