Image Processing

Pillow-SIMD – highly optimized downstream Pillow fork

Pillow-SIMD is “following” Pillow, the friendly PIL fork. PIL is an acronym for Python Imaging Library.

Pillow-SIMD versions are 100% compatible drop-in replacements for Pillow of the same version.

SIMD stands for “single instruction, multiple data” and its essence is in performing the same operation on multiple data points simultaneously by using multiple processing elements. Common CPU SIMD instruction sets are MMX, SSE-SSE4, AVX, AVX2, AVX512, NEON.

Pillow-SIMD can be compiled with SSE4 (default) or AVX2 support. It’s faster than Pillow thanks to SIMD and heavy loops unrolling, specific instructions, which aren’t available for scalar data types.

Website: python-pillow.github.io/pillow-perf/
Support: GitHub Code Repository
Developer: Alex Clark and contributors (PIL was written by Secret Labs AB and Fredrik Lundh), Uploadcare
License: Python Imaging Library license

Pillow is written in Python and C. Learn Python with our recommended free books and free tutorials. Learn C with our recommended free books and free tutorials.


Related Software

Image Processing Libraries
matplotlibPython 2D plotting library
OpenCVLibrary that includes several hundreds of computer vision algorithms
VIPSFast image processing library with low memory requirements
SciPyScientific Computing Tools for Python
PillowFork of the Python Imaging Library
Pillow-SIMDHighly optimized downstream Pillow fork
scikit-image Collection of algorithms for image processing
ImageMagickUses multiple computational threads to increase performance
GraphicsMagickBilled as the Swiss army knife of image processing.
GEGLGeneric Graphics Library
MahotasLibrary of fast computer vision algorithms
SimpleITKImage analysis toolkit with a large number of components
NetpbmToolkit for manipulation of graphic images
LibGDLibrary for the dynamic creation of images by developers

Read our verdict in the software roundup.


Best Free and Open Source Software Explore our comprehensive directory of recommended free and open source software. Our carefully curated collection spans every major software category.

This directory is part of our ongoing series of informative articles for Linux enthusiasts. It features hundreds of detailed reviews, along with open source alternatives to proprietary solutions from major corporations such as Google, Microsoft, Apple, Adobe, IBM, Cisco, Oracle, and Autodesk.

You’ll also find interesting projects to try, hardware coverage, free programming books and tutorials, and much more.

Discovered a useful open source Linux program that we haven’t covered yet? Let us know by completing this form.
Subscribe
Notify of
guest
0 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments