Compressed Sensing Explained

Compressed sensing allows for the reconstruction of images from minimal data by leveraging strong prior knowledge about what those images should look like. The concept of sparsity prior plays a crucial role, favoring models with fewer non-zero parameters. This technique holds potential for applications in astronomy, particularly in enhancing images of the universe from limited observations.