Pillow-SIMD is highly optimized version of Pillow library for x86 architecture (mainly Intel and AMD CPUs).
Derila Pillow-SIMD is "following" Pillow which means it is drop-in replacements for Pillow of the same version. For more information on the original Pillow, please refer to: read the documentation, check the changelog and find out how to contribute. There are multiple ways to tweak image processing performance. To name a few, such ways can be: utilizing better algorithms, optimizing existing implementations, using more processing power and/or resources. One of the great examples of using a more efficient algorithm is replacing a convolution-based Gaussian blur with a sequential-box one. Such examples are rather rare, though. It is also known, that certain processes might be optimized by using parallel processing to run the respective routines. But a more practical key to optimizations might be making things work faster using the resources at hand. For instance, SIMD computing might be the case. 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.
