Programme

• The tutorial will begin with short introduction to the basic premise of sparsity and highlight some problems in astronomical image processing that can be solved using this methodology. (~15-20min; slides)
• Tutees will then follow a hands-on demonstration of how the concept of sparsity can be used to denoise signals. (~30-35min; interactive jupyter notebook with exercises)
• Finally the tutees will learn how to denoise an astronomical image and use their newfound skills to recover a nice picture of Saturn. (~35-40min; interactive jupyter notebook with an exercise)

Requirements

• The tutorial contents are available on GitHub.
• Provided tutees have a stable internet connection, the entire tutorial can be run online using Binder.
• However, to be safe, tutees should download and install the tutorial materials beforehand.