Quantum median filter for Total Variation image denoising
- URL: http://arxiv.org/abs/2212.01041v1
- Date: Fri, 2 Dec 2022 09:13:27 GMT
- Title: Quantum median filter for Total Variation image denoising
- Authors: Simone De Santis, Damiana Lazzaro, Riccardo Mengoni, Serena Morigi
- Abstract summary: This work proposes the challenging development of a powerful method of image denoising, such as the Total Variation (TV) model, in a quantum environment.
Despite the natural limitations of the current capabilities of quantum devices, the experimental results show a competitive denoising performance.
- Score: 2.294014185517203
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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 processing, through a difficult process of knowledge transfer. This
effort is named Quantum Image Processing, an emerging research field pushed by
powerful parallel computing 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.
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