Pillow/docs/reference/ImageEnhance.rst
nulano 2761a02d13 fix module references
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.. py:module:: PIL.ImageEnhance
.. py:currentmodule:: PIL.ImageEnhance
:py:mod:`~PIL.ImageEnhance` Module
==================================
The :py:mod:`~PIL.ImageEnhance` module contains a number of classes that can be used
for image enhancement.
Example: Vary the sharpness of an image
---------------------------------------
.. code-block:: python
from PIL import ImageEnhance
enhancer = ImageEnhance.Sharpness(image)
for i in range(8):
factor = i / 4.0
enhancer.enhance(factor).show("Sharpness %f" % factor)
Also see the :file:`enhancer.py` demo program in the :file:`Scripts/`
directory.
Classes
-------
All enhancement classes implement a common interface, containing a single
method:
.. py:class:: _Enhance
.. py:method:: enhance(factor)
Returns an enhanced image.
:param factor: A floating point value controlling the enhancement.
Factor 1.0 always returns a copy of the original image,
lower factors mean less color (brightness, contrast,
etc), and higher values more. There are no restrictions
on this value.
.. py:class:: Color(image)
Adjust image color balance.
This class can be used to adjust the colour balance of an image, in
a manner similar to the controls on a colour TV set. An enhancement
factor of 0.0 gives a black and white image. A factor of 1.0 gives
the original image.
.. py:class:: Contrast(image)
Adjust image contrast.
This class can be used to control the contrast of an image, similar
to the contrast control on a TV set. An enhancement factor of 0.0
gives a solid grey image. A factor of 1.0 gives the original image.
.. py:class:: Brightness(image)
Adjust image brightness.
This class can be used to control the brightness of an image. An
enhancement factor of 0.0 gives a black image. A factor of 1.0 gives the
original image.
.. py:class:: Sharpness(image)
Adjust image sharpness.
This class can be used to adjust the sharpness of an image. An
enhancement factor of 0.0 gives a blurred image, a factor of 1.0 gives the
original image, and a factor of 2.0 gives a sharpened image.