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

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 counterpart
De Santis, Simone; Lazzaro, Damiana; Mengoni, Riccardo; Morigi, Serena
File in questo prodotto:
File 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.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/895343
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact