python-pillow/Pillow
1
1
Fork 0
mirror of https://github.com/python-pillow/Pillow.git synced 2025-01-27 09:44:31 +03:00
Code Issues Packages Projects Releases Wiki Activity

Release notes

Browse Source
This commit is contained in:
Eric Soroos 2017-10-02 09:27:15 +00:00
parent 1b12310126
commit 697f00c019
1 changed files with 19 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

21
docs/releasenotes/4.3.0.rst
View File

@ -87,16 +87,22 @@ operation. The original :py:class:`PIL.ImageFilter.Filter` class
remains for image filters that can process only single band images, or remains for image filters that can process only single band images, or
require splitting of channels prior to filtering. require splitting of channels prior to filtering.
Other Changes
=============
Loading 16-bit TIFF Images Loading 16-bit TIFF Images
========================== ^^^^^^^^^^^^^^^^^^^^^^^^^^
Pillow now can read 16-bit multichannel TIFF files including files Pillow now can read 16-bit multichannel TIFF files including files
with alpha transparency. The image data is truncated to 8-bit with alpha transparency. The image data is truncated to 8-bit
precision. precision.
Pillow now can read 16-bit signed integer single channel TIFF
files. The image data is promoted to 32-bit for storage and
processing.
Performance Performance
=========== ^^^^^^^^^^^
This release contains several performance improvements: This release contains several performance improvements:
@ -109,3 +115,14 @@ This release contains several performance improvements:
friendly algorithm. friendly algorithm.
* ImageFilters based on Kernel convolution are significantly faster * ImageFilters based on Kernel convolution are significantly faster
due to the new MultibandFilter feature. due to the new MultibandFilter feature.
* All memory allocation for images is now done in blocks, rather than
falling back to an allocation for each scan line for images larger
than the block size.
CMYK Conversion
^^^^^^^^^^^^^^^
The basic CMYK->RGB conversion has been tweaked to match the formula
from Google Chrome. This produces an image that is generally lighter
than the previous formula, and more in line with what color managed
applications produce.