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