Python pillow package can be used for creating thumbnails, converting from one format to another and print images, etc. The Python Imaging Library is best suited for image archival and batch processing applications. Apart from basic image processing functionality, including point operations, filtering images using built-in convolution kernels, and color space conversions.
You can do almost anything on digital images using pillow module. It supports wide variety of images such as “jpeg”, “png”, “bmp”, “gif”, “ppm”, “tiff”. Pillow module gives more functionalities, runs on all major operating system and support for python 3. However, the PIL module is not supported since 2011 and doesn’t support python 3. PIL is one of the important modules for image processing in Python.
Pillow is built on top of PIL (Python Image Library). However, in this tutorial, we are only focusing on Pillow module and will try to explore various capabilities of this module.
Some of the most common image processing libraries are: OpenCV, Python Imaging Library (PIL), Scikit-image, Pillow. In case, we are working with Python programming language, it provides lot of image processing libraries to add image processing capabilities to digital images. In today’s digital world, we come across lots of digital images.
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