De-QuIP-Denoising (Denoising by Quantum Interactive Patches)

The following script shows an example of our image denoising algorithm

Sample code of the papers:

1. 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

2. 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.

3. Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé, "Despeckling Ultrasound Images Using Quantum Many-Body Physics," 2021 IEEE International Ultrasonics Symposium (IUS), 2021, pp. 1-4, doi: 10.1109/IUS52206.2021.9593778.

4. 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: sdu4004@med.cornell.edu and sayantan.dutta110@gmail.com

Please contact Sayantan Dutta for the latest MATLAB code and any further communications.

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The following script shows an example of our image denoising algorithm Denoising by Quantum Interactive Patches (De-QuIP).

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