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Communication Dans Un Congrès Année : 2021

Poisson Image Deconvolution by a Plug-and-Play Quantum Denoising Scheme

Résumé

This paper introduces a new Plug-and-Play (PnP) alternating direction of multipliers (ADMM) scheme based on a recently proposed denoiser using the Schroedinger equation solutions of quantum physics. The proposed algorithm referred to as QAB-PnP is well-adapted to Poisson noise, which is very common for imaging applications, such as, limited photon acquisition. In contrast to existing PnP approaches using a variance stabilizing transformation that is not invariant to deconvolution operation, the proposed method does not suffer from this theoretical problem. Moreover, numerical results show the superiority of the proposed scheme compared to recent state-of-the-art techniques, for both low and high signal-to-noise-ratio scenarios.

Dates et versions

hal-02972150 , version 1 (20-10-2020)

Identifiants

Citer

Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, Denis Kouamé. Poisson Image Deconvolution by a Plug-and-Play Quantum Denoising Scheme. 2021 29th European Signal Processing Conference (EUSIPCO), Aug 2021, Dublin, Ireland. ⟨10.23919/EUSIPCO54536.2021.9616253⟩. ⟨hal-02972150⟩
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