De-QuIP-Despeckling

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

The following script shows an example of our Ultrasound image despeckling 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, "Despeckling Ultrasound Images Using Quantum Many-Body Physics," 2021 IEEE International Ultrasonics Symposium (IUS), 2021, pp. 1-4, doi: 10.1109/IUS52206.2021.9593778.

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.

4. 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.

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

MATLAB code prepard by Sayantan Dutta E-mail: sayantan.dutta@irit.fr 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 Ultrasound image despeckling algorithm Despeckling by Quantum Interactive Patches (De-QuIP).

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