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Changed wording [ci skip]
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@ -45,8 +45,8 @@ image. The current release supports the following standard modes:
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PIL also provides limited support for a few special modes, including ``LA`` (L
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with alpha), ``RGBX`` (true color with padding) and ``RGBa`` (true color with
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premultiplied alpha). However, PIL doesn’t support user-defined modes; if you
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to handle band combinations that are not listed above, use a sequence of Image
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objects.
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need to handle band combinations that are not listed above, use a sequence of
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Image objects.
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You can read the mode of an image through the :py:attr:`~PIL.Image.Image.mode`
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attribute. This is a string containing one of the above values.
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@ -114,7 +114,7 @@ pixel, the Python Imaging Library provides different resampling *filters*.
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in the input image is used.
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``HAMMING``
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Produces more sharp image than ``BILINEAR``, doesn't have dislocations
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Produces a sharper image than ``BILINEAR``, doesn't have dislocations
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on local level like with ``BOX``.
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This filter can only be used with the :py:meth:`~PIL.Image.Image.resize`
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and :py:meth:`~PIL.Image.Image.thumbnail` methods.
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@ -148,7 +148,7 @@ Blur performance
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Box filter computation time is constant relative to the radius and depends
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on source image size only. Because the new Gaussian blur implementation
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is based on box filter, its computation time also doesn't depends on the blur
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is based on box filter, its computation time also doesn't depend on the blur
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radius.
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For example, previously, if the execution time for a given test image was 1
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@ -172,4 +172,3 @@ specified as strings with included spaces (e.g. 'x resolution'). This
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was difficult to use as kwargs without constructing and passing a
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dictionary. These parameters now use the underscore character instead
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of space. (e.g. 'x_resolution')
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@ -68,7 +68,7 @@ Out of Spec Metadata
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++++++++++++++++++++
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In Pillow 3.0 and 3.1, images that contain metadata that is internally
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consistent but not in agreement with the TIFF spec may cause an
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consistent, but not in agreement with the TIFF spec, may cause an
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exception when reading the metadata. This can happen when a tag that
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is specified to have a single value is stored with an array of values.
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@ -29,9 +29,9 @@ Resizing
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========
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Image resampling for 8-bit per channel images was rewritten using only integer
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computings. This is faster on most of the platforms and doesn't introduce
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precision errors on the wide range of scales. With other performance
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improvements, this makes resampling 60% faster on average.
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computings. This is faster on most platforms and doesn't introduce precision
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errors on the wide range of scales. With other performance improvements, this
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makes resampling 60% faster on average.
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Color calculation for images in the ``LA`` mode on semitransparent pixels
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was fixed.
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@ -41,7 +41,7 @@ Rotation
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========
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Rotation for angles divisible by 90 degrees now always uses transposition.
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This greatly improve both quality and performance in this cases.
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This greatly improves both quality and performance in this case.
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Also, the bug with wrong image size calculation when rotating by 90 degrees
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was fixed.
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@ -52,4 +52,3 @@ Image Metadata
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The return type for binary data in version 2 Exif and Tiff metadata
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has been changed from a tuple of integers to bytes. This is a change
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from the behavior since ``3.0.0``.
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@ -8,7 +8,7 @@ New resizing filters
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Two new filters available for ``Image.resize()`` and ``Image.thumbnail()``
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functions: ``BOX`` and ``HAMMING``. ``BOX`` is the high-performance filter with
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two times shorter window than ``BILINEAR``. It can be used for image reduction
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3 and more times and produces a more sharp result than ``BILINEAR``.
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3 and more times and produces a sharper result than ``BILINEAR``.
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``HAMMING`` filter has the same performance as ``BILINEAR`` filter while
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providing the image downscaling quality comparable to ``BICUBIC``.
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@ -25,7 +25,7 @@ image as a JPEG. This will become an error in Pillow 4.2.
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New DDS Decoders
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================
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Pillow can now decode DXT3 images, as well as the previously support
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Pillow can now decode DXT3 images, as well as the previously supported
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DXT1 and DXT5 formats. All three formats are now decoded in C code for
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better performance.
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