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

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_examples_transform_plot_rescale.py>`
        to download the full example code or to run this example in your browser via Binder

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

.. _sphx_glr_auto_examples_transform_plot_rescale.py:


==============================
Rescale, resize, and downscale
==============================

`Rescale` operation resizes an image by a given scaling factor. The scaling
factor can either be a single floating point value, or multiple values - one
along each axis.

`Resize` serves the same purpose, but allows to specify an output image shape
instead of a scaling factor.

Note that when down-sampling an image, `resize` and `rescale` should perform
Gaussian smoothing to avoid aliasing artifacts. See the `anti_aliasing` and
`anti_aliasing_sigma` arguments to these functions.

`Downscale` serves the purpose of down-sampling an n-dimensional image by
integer factors using the local mean on the elements of each block of the size
factors given as a parameter to the function.

.. GENERATED FROM PYTHON SOURCE LINES 22-56



.. image-sg:: /auto_examples/transform/images/sphx_glr_plot_rescale_001.png
   :alt: Original image, Rescaled image (aliasing), Resized image (no aliasing), Downscaled image (no aliasing)
   :srcset: /auto_examples/transform/images/sphx_glr_plot_rescale_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import matplotlib.pyplot as plt

    from skimage import data, color
    from skimage.transform import rescale, resize, downscale_local_mean

    image = color.rgb2gray(data.astronaut())

    image_rescaled = rescale(image, 0.25, anti_aliasing=False)
    image_resized = resize(
        image, (image.shape[0] // 4, image.shape[1] // 4), anti_aliasing=True
    )
    image_downscaled = downscale_local_mean(image, (4, 3))

    fig, axes = plt.subplots(nrows=2, ncols=2)

    ax = axes.ravel()

    ax[0].imshow(image, cmap='gray')
    ax[0].set_title("Original image")

    ax[1].imshow(image_rescaled, cmap='gray')
    ax[1].set_title("Rescaled image (aliasing)")

    ax[2].imshow(image_resized, cmap='gray')
    ax[2].set_title("Resized image (no aliasing)")

    ax[3].imshow(image_downscaled, cmap='gray')
    ax[3].set_title("Downscaled image (no aliasing)")

    ax[0].set_xlim(0, 512)
    ax[0].set_ylim(512, 0)
    plt.tight_layout()
    plt.show()


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

   **Total running time of the script:** (0 minutes 0.464 seconds)


.. _sphx_glr_download_auto_examples_transform_plot_rescale.py:

.. only:: html

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

    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/scikit-image/scikit-image/v0.23.2?filepath=notebooks/auto_examples/transform/plot_rescale.ipynb
        :alt: Launch binder
        :width: 150 px

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

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

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

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


.. only:: html

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

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