Notices about "Concept" ####################### This page describes about special notices about `Concept `_. about "Concept" Filters *********************** :doc: https://pillow.readthedocs.io/en/latest/handbook/concepts.html#filters Documentation about the resampling filters is somewhat misleading, because original PIL and Pillow have different phraseology each other. For example, in Image#resize section, original PIL says: The filter argument can be one of *NEAREST* (use nearest neighbour), *BILINEAR* (linear interpolation in a 2x2 environment), *BICUBIC* (cubic spline interpolation in a 4x4 environment), or *ANTIALIAS* (a high-quality downsampling filter). If omitted, or if the image has mode "1" or "P", it is set to *NEAREST*. Note that the bilinear and bicubic filters in the current version of PIL are not well-suited for large downsampling ratios (e.g. when creating thumbnails). You should use *ANTIALIAS* unless speed is much more important than quality. and in the case of Pillow: An optional resampling filter. This can be one of *PIL.Image.NEAREST*, *PIL.Image.BOX*, *PIL.Image.BILINEAR*, *PIL.Image.HAMMING*, *PIL.Image.BICUBIC* or *PIL.Image.LANCZOS*. If omitted, or if the image has mode "1" or "P", it is set *PIL.Image.NEAREST*. *ANTIALIAS* had gone in Pillow? *LANCZOS* can be used only with Pillow? The answer is **NO**. Actually, these constants are defined as: .. list-table:: :widths: 50 50 * - .. code-block:: python :caption: python-pillow/Pillow/blob/master/PIL/Image.py :emphasize-lines: 2, 4 NEAREST = NONE = 0 BOX = 4 BILINEAR = LINEAR = 2 HAMMING = 5 BICUBIC = CUBIC = 3 LANCZOS = ANTIALIAS = 1 - .. code-block:: python :caption: svn.effbot.org/public/pil/PIL/Image.py NONE = 0 NEAREST = 0 ANTIALIAS = 1 # 3-lobed lanczos LINEAR = BILINEAR = 2 CUBIC = BICUBIC = 3 For now, the differences in semantics are only *BOX* and *HAMMING*. Of course you can use :code:`Image.LANCZOS` symbol only if you use Pillow. If you need to run the codes for PIL and Pillow, take care of it.