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This commit is contained in:
Eric Soroos 2017-09-09 10:29:49 +00:00
parent d6ec5df08d
commit 566d69483d
1 changed files with 21 additions and 25 deletions
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docs/releasenotes/4.3.0.rst
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@ -10,49 +10,45 @@ It returns single channel by index or name. For example,
``getchannel`` should work up to 6 times faster than ``image.split()[0]``
in previous Pillow versions.
Removed Core Image Debugging Code
=================================
Debugging code within ``Image.core.grabclipboard`` was removed. It had been
marked as ``will be removed in future versions`` since PIL. When enabled, it
identified the format of the clipboard data.
Partial Resampling
==================
New argument ``box`` for :py:meth:`PIL.Image.Image.resize` method allows
set rect within source image which will be resized.
This is very similar to ``image.crop(box).resize(size)`` sequence
except that ``box`` can be with subpixel accuracy.
Added new argument ``box`` for :py:meth:`PIL.Image.Image.resize`. This
argument defines a source rectangle from within the source image to be
resized. This is very similar to the ``image.crop(box).resize(size)``
sequence except that ``box`` can be specified with subpixel accuracy.
Loading 16-bit TIFF Images
==========================
Pillow now can read 16-bit multichannel TIFF files including files
with alpha transparency. Such files are converted to internal
8-bit representation.
with alpha transparency. The image data is truncated to 8-bit
precision.
Performance
===========
Many performance improvements were done, including:
This release contains several performance improvements:
* Many memory bandwidth-bounded operations such as crop, image allocation,
conversion, split into bands and merging from bands
are accelerated up to 2 times
conversion, split into bands and merging from bands are up to 2x faster.
* Upscaling of multichannel images (such as RGB) is accelerated by 5-10%
* Using recent libjpeg-turbo version (most installations nowadays)
JPEG loading is accelerated up to 15% and JPEG saving up to 20%
* JPEG loading is accelerated up to 15% and JPEG saving up to 20% when
using a recent version of libjpeg-turbo.
Removed Internal Methods
========================
Core Image API Changes
======================
From time to time we are cleaning up our internal API,
which is however accessible from the Python code.
This time ``PIL.Image.core.copy`` and ``PIL.Image.Image.im.copy2`` methods
were removed.
>>>>>>> Release notes for my changes
These are internal functions that should not have been used by user
code, but they were accessible from the python layer.
Debugging code within ``Image.core.grabclipboard`` was removed. It had been
marked as ``will be removed in future versions`` since PIL. When enabled, it
identified the format of the clipboard data.
The ``PIL.Image.core.copy`` and ``PIL.Image.Image.im.copy2`` methods
have been removed.