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QAB-PnP-ADMM-Deconvolution

Plug-and-Play ADMM scheme based on an adaptive denoiser using the Schroedinger equation's solutions of quantum physics. The following script shows an example of our image deconvolution algorithm using Quantum Adaptive Basis (QAB) as a plug-and-play denoiser in the ADMM framework.

Sample code of the papers:

  1. Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé, "Plug-and-Play Quantum Adaptive Denoiser for Deconvolving Poisson Noisy Images," in IEEE Access, vol. 9, pp. 139771-139791, 2021, doi: 10.1109/ACCESS.2021.3118608.

  2. Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé, "Poisson image deconvolution by a plug-and-play quantum denoising scheme," in 2021 29th European Signal Processing Conference (EUSIPCO), 2021.

  3. Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé, "Quantum mechanics-based signal and image representation: Application to denoising," IEEE Open Journal of Signal Processing, vol. 2, pp. 190–206, 2021.

One should cite all these papers for using the following codes.

MATLAB code prepard by Sayantan Dutta E-mail: [email protected] and [email protected]

Please contact Sayantan Dutta for any further communications.

The following script shows an example of our image deconvolution algorithm using Quantum Adaptive Basis (QAB) as a plug-and-play denoiser in the ADMM framework.