Member-only story
Image Filters with Python
A concise computer vision project for building image filters using Python
Images exist in different scales, contrasts, bit depths, and qualities. We are filled with a variety of unique and beautiful images that encompass us all over our surroundings and across the internet. Manipulating these images can lead to several intriguing results, which are used for a wide array of fun and helpful applications.
In image processing and computer vision, playing around with images is a critical component to solving different tasks and acquiring desirable results for numerous projects. With the proper handling of imaging tasks, we can recreate a modified version of the image useful for several computer vision and deep learning applications, such as data augmentation.
In this article, we will focus on developing a simple image filter application to primarily modify the brightness and contrast of a particular image. Several other noteworthy modifications, including shader styles, clip art, emojis, and other similar additions, can be implemented and added to your project.
If the readers are not familiar with computer vision and OpenCV, I would suggest checking out one of my previous articles on a complete and extensive beginner guide to get started with OpenCV and computer vision. The link…
