.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "advanced/image_processing/auto_examples/plot_denoising.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_advanced_image_processing_auto_examples_plot_denoising.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_advanced_image_processing_auto_examples_plot_denoising.py:


Denoising an image with the median filter
==========================================

This example shows the original image, the noisy image, the denoised
one (with the median filter) and the difference between the two.

.. GENERATED FROM PYTHON SOURCE LINES 8-45



.. image-sg:: /advanced/image_processing/auto_examples/images/sphx_glr_plot_denoising_001.png
   :alt: Original image, Noisy image, Median filter, Error
   :srcset: /advanced/image_processing/auto_examples/images/sphx_glr_plot_denoising_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import numpy as np
    import scipy as sp
    import matplotlib.pyplot as plt

    rng = np.random.default_rng(27446968)

    im = np.zeros((20, 20))
    im[5:-5, 5:-5] = 1
    im = sp.ndimage.distance_transform_bf(im)
    im_noise = im + 0.2 * rng.normal(size=im.shape)

    im_med = sp.ndimage.median_filter(im_noise, 3)

    plt.figure(figsize=(16, 5))

    plt.subplot(141)
    plt.imshow(im, interpolation="nearest")
    plt.axis("off")
    plt.title("Original image", fontsize=20)
    plt.subplot(142)
    plt.imshow(im_noise, interpolation="nearest", vmin=0, vmax=5)
    plt.axis("off")
    plt.title("Noisy image", fontsize=20)
    plt.subplot(143)
    plt.imshow(im_med, interpolation="nearest", vmin=0, vmax=5)
    plt.axis("off")
    plt.title("Median filter", fontsize=20)
    plt.subplot(144)
    plt.imshow(np.abs(im - im_med), cmap="hot", interpolation="nearest")
    plt.axis("off")
    plt.title("Error", fontsize=20)


    plt.subplots_adjust(wspace=0.02, hspace=0.02, top=0.9, bottom=0, left=0, right=1)

    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.087 seconds)


.. _sphx_glr_download_advanced_image_processing_auto_examples_plot_denoising.py:

.. only:: html

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

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_denoising.ipynb <plot_denoising.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_denoising.py <plot_denoising.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_denoising.zip <plot_denoising.zip>`


.. only:: html

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

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