The following script shows an example of a single image super-resolution algorithm (RED+ADMM+De-QuIP) using the quantum adaptive denoiser Denoising by Quantum Interactive Patches (De-QuIP) in a Regularization by Denoising (RED) approache with the ADMM framework.
https://github.com/SayantanDutta95/De-QuIP-Denoising
-
Sayantan Dutta, Nwigbo Kenule Tuador, Jérome Michetti, Bertrand Georgeot, Duong Hung Pham, Adrian Basarab, and Denis Kouamé, "Quantum denoising-based super-resolution algorithm applied to dental tomography images", 2022 IEEE International Symposium on Biomedical Imaging (ISBI), 2022, pp. 1-4, doi: 10.1109/ISBI52829.2022.9761623.
-
Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé, "Plug-and-Play Quantum Adaptive Denoiser for Deconvolving Poisson Noisy Images", IEEE Access, 2021, vol. 9, pp. 139771-139791, doi: 10.1109/ACCESS.2021.3118608.
-
Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé, "A Novel Image Denoising Algorithm Using Concepts of Quantum Many-Body Theory," Signal Processing, vol. 201, pp. 108690, 2022, doi: 10.1016/j.sigpro.2022.108690
-
Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé, "Image Denoising Inspired by Quantum Many-Body physics," 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 1619-1623, doi: 10.1109/ICIP42928.2021.9506794.
-
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.
MATLAB code prepard by Sayantan Dutta E-mail: sdu4004@med.cornell.edu and sayantan.dutta110@gmail.com
Please contact Sayantan Dutta for the latest MATLAB code and any further communications.