In this Pillow tutorial, you will be given an introduction to the Python Pillow library. This tutorial will teach you how to perform image handling and image processing tasks using Python Pillow. You will learn in-depth about the Image module, which is the most important module in the Pillow library. Among other things, you will learn how to open, save, rotate, transpose, resize, crop, and paste images. You will also learn about the various bands used to represent images and how you can play around with these and convert images from one mode to another.
The tutorial covers various other modules in the Pillow library and you will learn how to use these modules. You will learn how to apply filters to images using the ImageFilter module, and how to enhance images using the ImageEnhance module. You will also learn about the ImageDraw module which is used to draw shapes and write text on images. Finally, you will learn how to use the ImageOps module- an experimental module for applying effects to images.
Audience
This Pillow tutorial is prepared for individuals who are stepping into the field of Image Processing and want to use Python programming language for it. This tutorial has been designed to take you from scratch to an advanced level from where you will be able to learn even more advanced concepts on your own.
After completing this tutorial, you will able to perform basic image handling tasks such as opening, viewing, and saving an image. You will also be able to perform basic image operations such as rotating, flipping, cropping, pasting, resizing, or converting an image from one mode to another. Additionally, you will learn to use various Pillow models to perform image processing tasks such as applying filter, enhancing images, applying effects, and drawing or writing text on images.
Prerequisites
This tutorial series is designed to get you started in Python Pillow. It is however assumed that you have basic knowledge of Python programming language and images. Additionally, any prior knowledge about image handling and image processing will be helpful.