# Review of Algorithms for Compressive Sensing of Images

arXiv: https://arxiv.org/abs/1908.01642 · HTML: https://mlsanity.com/paper/1908.01642/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Aug 2019.

## Built on by (most cited first, 1 of 1)

- [Compressive Image Scanning Microscope](https://mlsanity.com/paper/2307.09841/) (2023)

## Abstract (arXiv)

We provide a comprehensive review of classical algorithms for compressive sensing of images, focused on Total variation methods, with a view to application in LiDAR systems. Our primary focus is providing a full review for beginners in the field, as well as simulating the kind of noise found in real LiDAR systems. To this end, we provide an overview of the theoretical background, a brief discussion of various considerations that come in to play in compressive sensing, and a standardized comparison of off-the-shelf methods, intended as a quick-start guide to choosing algorithms for compressive sensing applications.