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

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

.. _sphx_glr_packages_scikit-image_auto_examples_plot_filter_coins.py:


Various denoising filters
=========================

This example compares several denoising filters available in scikit-image:
a Gaussian filter, a median filter, and total variation denoising.




.. image:: /packages/scikit-image/auto_examples/images/sphx_glr_plot_filter_coins_001.png
    :class: sphx-glr-single-img





.. code-block:: python


    import numpy as np
    import matplotlib.pyplot as plt
    from skimage import data
    from skimage import filters
    from skimage import restoration

    coins = data.coins()
    gaussian_filter_coins = filters.gaussian(coins, sigma=2)
    med_filter_coins = filters.median(coins, np.ones((3, 3)))
    tv_filter_coins = restoration.denoise_tv_chambolle(coins, weight=0.1)

    plt.figure(figsize=(16, 4))
    plt.subplot(141)
    plt.imshow(coins[10:80, 300:370], cmap='gray', interpolation='nearest')
    plt.axis('off')
    plt.title('Image')
    plt.subplot(142)
    plt.imshow(gaussian_filter_coins[10:80, 300:370], cmap='gray',
               interpolation='nearest')
    plt.axis('off')
    plt.title('Gaussian filter')
    plt.subplot(143)
    plt.imshow(med_filter_coins[10:80, 300:370], cmap='gray',
               interpolation='nearest')
    plt.axis('off')
    plt.title('Median filter')
    plt.subplot(144)
    plt.imshow(tv_filter_coins[10:80, 300:370], cmap='gray',
               interpolation='nearest')
    plt.axis('off')
    plt.title('TV filter')
    plt.show()

**Total running time of the script:** ( 0 minutes  0.118 seconds)


.. _sphx_glr_download_packages_scikit-image_auto_examples_plot_filter_coins.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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