This repository contains various methods to assess the quality of an image and to construct simulated dataset to test tomographic reconstruction algorithms.
The following metrics are included:
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Mean-Squared-Error (MSE).
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Peak-Signal-to-Noise-Ratio (PSNR).
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Structural Similarity Index (SSIM).
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Normalized Mutual Information (NMI).
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Image Complexity.
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Resolution analysis through Edge-Profile-Fitting (EPF).
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Resolution analysis through Fourier Ring Correlation (FRC).
The following routines to construct simulated datasets are included:
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Create a Shepp-Logan phantom.
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Create generic phantoms with analytical X-ray transform.
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Rescale image.
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Downsample sinogram.
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Add Gaussian or Poisson noise.
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Add Gaussian blurring.
scipy, scikit-image, PIL and h5py.
Go inside the folder "data/" and unzip the test dataset: unzip dataset.zip.
Then, inside the folder "tests/" try to run one by one the test scripts.
When a plot is produced during the execution of a test, the script is halted until the plot window is manually closed.