.. only:: html

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

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

    .. _sphx_glr_auto_examples_plot_image_robust.py:


Outlier correction
==================



.. image:: /auto_examples/images/sphx_glr_plot_image_robust_001.png
    :alt: plot image robust
    :class: sphx-glr-single-img






.. code-block:: default


    import matplotlib.pyplot as plt

    import seaborn_image as isns

    img = isns.load_image("polymer outliers")

    f, axes = plt.subplots(1, 2)

    ax0 = isns.imgplot(img, ax=axes[0], cmap="inferno")
    ax1 = isns.imgplot(img, ax=axes[1], robust=True, perc=(2, 99.99), cmap="inferno")


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

   **Total running time of the script:** ( 0 minutes  0.764 seconds)


.. _sphx_glr_download_auto_examples_plot_image_robust.py:


.. only :: html

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



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

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



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

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


.. only:: html

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

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