In this post, we will start exploring the world of image processing with the Metal shading language. We will create a framework capable of representing chains of image filters, then write a pair of image filters that will allow us to adjust the saturation and blur of an image. The end result will be an interactive app that allows you to control the image filter parameters in real-time.
This post is designed to be read after its companion article, Introduction to Compute Programming.
The sample application UI, allowing filter adjustment in real-time.
You can download the sample project here.
This post is an introduction to topics in compute (or data-parallel) programming. It is designed to be read before its companion article, Fundamentals of Image Processing. In this article, we will cover the basics of setting up the compute pipeline and executing kernel functions on large sets of data in parallel. The companion article covers the basics of image processing and builds on the foundation laid here.