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Python Imaging Library (Fork)
e3c0ee6ae2
When both `qtables` and `quality` are provided, Pillow previously passed the raw `quality` value directly to `jpeg_add_quant_table()` as the scale factor, which caused incorrect quantization. This commit corrects the behavior by using `jpeg_quality_scaling(quality)` to compute the proper JPEG quantization scaling factor, consistent with `jpeg_set_quality()`. This ensures expected compression behavior when custom qtables are used alongside a specified quality level. |
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| selftest.py | ||
| setup.py | ||
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Pillow
Python Imaging Library (Fork)
Pillow is the friendly PIL fork by Jeffrey A. Clark and contributors. PIL is the Python Imaging Library by Fredrik Lundh and contributors. As of 2019, Pillow development is supported by Tidelift.
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Overview
The Python Imaging Library adds image processing capabilities to your Python interpreter.
This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.
The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool.
More Information
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To report a security vulnerability, please follow the procedure described in the Tidelift security policy.