In this new computing paradigm, named quantum computing, researchers from all over the world are taking their first steps in designing quantum circuits for image process- ing, through a difficult process of knowledge transfer. This effort is named quantum image processing, an emerging research field pushed by powerful parallel comput- ing capabilities of quantum computers. This work goes in this direction and proposes the challenging development of a powerful method of image denoising, such as the total variation (TV) model, in a quantum environment. The proposed quantum TV is described and its sub-components are analysed. Despite the natural limitations of the current capabilities of quantum devices, the experimental results show a competitive denoising performance compared to the classical variational TV counterpart
De Santis, S., Lazzaro, D., Mengoni, R., Morigi, S. (2022). Quantum median filter for total variation image denoising. ANNALI DELL'UNIVERSITÀ DI FERRARA. SEZIONE 7: SCIENZE MATEMATICHE, 68(2), 597-620 [10.1007/s11565-022-00445-2].
Quantum median filter for total variation image denoising
De Santis, Simone;Lazzaro, Damiana;Morigi, Serena
2022
Abstract
In this new computing paradigm, named quantum computing, researchers from all over the world are taking their first steps in designing quantum circuits for image process- ing, through a difficult process of knowledge transfer. This effort is named quantum image processing, an emerging research field pushed by powerful parallel comput- ing capabilities of quantum computers. This work goes in this direction and proposes the challenging development of a powerful method of image denoising, such as the total variation (TV) model, in a quantum environment. The proposed quantum TV is described and its sub-components are analysed. Despite the natural limitations of the current capabilities of quantum devices, the experimental results show a competitive denoising performance compared to the classical variational TV counterpartFile | Dimensione | Formato | |
---|---|---|---|
s11565-022-00445-2.pdf
accesso aperto
Tipo:
Versione (PDF) editoriale
Licenza:
Creative commons
Dimensione
2.82 MB
Formato
Adobe PDF
|
2.82 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.