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

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's solutions of quantum physics. The efficiency of the proposed algorithm is evaluated for Poisson image deconvolution, which is very common for imaging applications, such as, for example, limited photon acquisition. 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. This performance gain is mostly explained by the flexibility of the embedded quantum denoiser for different types of noise affecting the observations.

Automated summary

This paper introduces a new Plug-and-Play alternating direction of multipliers (ADMM) scheme based on a denoiser using the Schroedinger equation's solutions of quantum physics. The proposed algorithm is evaluated for Poisson image deconvolution and shows superiority compared to recent state-of-the-art techniques, mainly due to the flexibility of the embedded quantum denoiser for different types of noise.