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

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

.. _sphx_glr_intro_scipy_auto_examples_plot_image_filters.py:


=========================
Plot filtering on images
=========================

Demo filtering for denoising of images.




.. image:: /intro/scipy/auto_examples/images/sphx_glr_plot_image_filters_001.png
    :class: sphx-glr-single-img





.. code-block:: python


    # Load some data
    from scipy import misc
    face = misc.face(gray=True)
    face = face[:512, -512:]  # crop out square on right

    # Apply a variety of filters
    from scipy import ndimage
    from scipy import signal
    from matplotlib import pyplot as plt

    import numpy as np
    noisy_face = np.copy(face).astype(np.float)
    noisy_face += face.std() * 0.5 * np.random.standard_normal(face.shape)
    blurred_face = ndimage.gaussian_filter(noisy_face, sigma=3)
    median_face = ndimage.median_filter(noisy_face, size=5)
    wiener_face = signal.wiener(noisy_face, (5, 5))

    plt.figure(figsize=(12, 3.5))
    plt.subplot(141)
    plt.imshow(noisy_face, cmap=plt.cm.gray)
    plt.axis('off')
    plt.title('noisy')

    plt.subplot(142)
    plt.imshow(blurred_face, cmap=plt.cm.gray)
    plt.axis('off')
    plt.title('Gaussian filter')

    plt.subplot(143)
    plt.imshow(median_face, cmap=plt.cm.gray)
    plt.axis('off')
    plt.title('median filter')

    plt.subplot(144)
    plt.imshow(wiener_face, cmap=plt.cm.gray)
    plt.title('Wiener filter')
    plt.axis('off')

    plt.subplots_adjust(wspace=.05, left=.01, bottom=.01, right=.99, top=.99)

    plt.show()



**Total running time of the script:** ( 0 minutes  0.382 seconds)


.. _sphx_glr_download_intro_scipy_auto_examples_plot_image_filters.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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