.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_auto_examples_08_poisson_noise.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_08_poisson_noise.py:


Example 08: Apply Poission noise to projection data
===================================================


.. code-block:: default


    import foam_ct_phantom
    import numpy as np
    import h5py
    import pylab as pl
    pl.gray()

    # Run 03_generate_projections_parallel.py first

    fac = foam_ct_phantom.estimate_absorption_factor('test_projs_par.h5',0.5)

    foam_ct_phantom.apply_poisson_noise('test_projs_par.h5','test_projs_noisy.h5',1234,100,fac)

    projs = foam_ct_phantom.load_projections('test_projs_noisy.h5')

    pl.imshow(projs[0])
    pl.show()

.. _sphx_glr_download_auto_examples_08_poisson_noise.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

     :download:`Download Python source code: 08_poisson_noise.py <08_poisson_noise.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: 08_poisson_noise.ipynb <08_poisson_noise.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_