Testing procedure for Super Resolution

This project is maintained by ydecastro

Testing Procedure for Super Resolution

This repository contains an illustration of the numerical experiments performed in the paper entitled “Testing Gaussian Process with Applications to Super-Resolution” by Jean-Marc Azaïs, Yohann De Castro and Stéphane Mourareau.

Download file on the ArXiv (arXiv:1706.00679v3)

Chapter 6 (Pages 25-29) of version 3.

Python source code

The Python code can be downloaded at

Github repository super-resolution-testing ZIP file

The file contains all the auxiliary functions. The file is illustrated in the notebook ‘testing_super_resolution.ipynb’.

It requires at most: python>=3.6.4, numpy>=1.14.0, scipy>=1.0.0, seaborn>=0.8.1

Getting started

Once you have downloaded the two files and, you can execute to make the numerical experiments of the paper. The notebook testing_super_resolution.ipynb is an illustration of this code. It should take you between 15 to 30min to run all the experiments below (for less than iterations<=500 montecarlo simulations).

Have a look at the Jupiter notebook on blob

Thank you for your time!