This website is presently a work in progress. Most things are either incomplete or completely broken
This is where the cosmos meets code, l write technical articles related to Astrophotography and Rust. Whether you're a stargazer with a camera or a coding enthusiast with a passion for the night sky, join me on this journey through the stars, pixels, and lines of code.
For anyone looking to learn about image processing as a programming niche, blending images is a very good place to start. It's one of the simplest yet most rewarding techniques when it comes to image processing.
Iterators and match patterns are two of the most used language features in Rust. In this tutorial, I aim to help you understand how they actually work, the many ways they're usually used, and how powerful they are by writing a JSON parser that heavily uses these features.
In this handbook, you'll learn about procedural macros in the Rust programming language, and what purposes they serve. You'll also learn how to write your own procedural macros of all 3 kinds in Rust for many different use cases with both hypothetical and real-world examples.
Star detection is a crucial step in many of the processing and analysis routines that we perform on astronomical images. It is extremely important for a process called plate-solving, which is the process of figuring out which part of the sky an image shows, or which part of the sky your telescope is pointed at.
Multi-scale analysis is a relatively new image processing technique. It lets you split image data up into a bunch of signals then recombine it to create the final signal. In this in-depth Rust tutorial, you'll learn how it works using images of the stars.
