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Gaussian_2D_fitting.ipynb
Gaussian_2D_fitting.ipynb
 
 
NA.png
NA.png
 
 
README.md
README.md
 
 
Resampling image using Fourier Transform.ipynb
Resampling image using Fourier Transform.ipynb
 
 
WF_psf_mtf.py
WF_psf_mtf.py
 
 
beer_law.html
beer_law.html
 
 
cleaning_data.ipynb
cleaning_data.ipynb
 
 
computing_pupil_size.ipynb
computing_pupil_size.ipynb
 
 
confidence_intervals.ipynb
confidence_intervals.ipynb
 
 
curve_fitting.ipynb
curve_fitting.ipynb
 
 
curve_fitting_bounds.ipynb
curve_fitting_bounds.ipynb
 
 
curve_fitting_constraints.ipynb
curve_fitting_constraints.ipynb
 
 
error_estimation.ipynb
error_estimation.ipynb
 
 
feature_detection.ipynb
feature_detection.ipynb
 
 
from_wavefront_to_mtf_to_psf.ipynb
from_wavefront_to_mtf_to_psf.ipynb
 
 
image_alignment.ipynb
image_alignment.ipynb
 
 
image_operations.ipynb
image_operations.ipynb
 
 
image_restoration.ipynb
image_restoration.ipynb
 
 
scatterplots_binning.ipynb
scatterplots_binning.ipynb
 
 

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This repository contains projects which I have done during my PhD and postdoctoral research. I illustrate my work and provide detailed explanation of the codes using jupyter notebooks. Key-words: Image analysis, Fourier Transform, Image convolution, statistical analysis, time series analysis, Error handling, Confidence intervals, model fitting, parametric and non-parametric regression, wavefront aberrations, Image quality, MTF, PSF.

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Example projects with a detailed explanation of the codes

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