Python Pillow Overview

In today’s digital world, we encounter many digital images. The Python programming language provides many image processing libraries to add image processing capabilities to digital images.

Some of the most common image processing libraries are. OpenCV, Python Imaging Library (PIL), Scikit-image,

The Pillow module provides more functionality, runs on all major operating systems, and supports Python 3. It supports a wide variety of image formats, including JPEG, PNG, BMP, GIF, PPM, and TIFF. You can use Pillow to do almost anything with digital images. Basic image processing functions include point operations, image filtering using built-in convolution kernels, and color space conversion.

Image Archiving

The Python imaging library is best suited for image archiving and batch processing applications. The Python pillow package can be used to create thumbnails, convert from one format to another, and print images.

Image Display

You can use Tk PhotoImage, BitmapImage, and the Windows DIB interface to display images, which can be used with PythonWin and other Windows-based toolkits, as well as many other graphical user interface (GUI) toolkits.

For debugging purposes, there is a show() method that saves an image to disk, which calls an external display tool.

Image Processing

The Pillow library contains all the basic image processing functions. You can resize, rotate, and transform images.

The Pillow module allows you to extract statistics from images using histograms, which can be used for statistical analysis and automatic contrast enhancement.