# Imaging through scattering media via spatial-temporal encoded pattern illumination

arXiv: https://arxiv.org/abs/2112.13303 · HTML: https://mlsanity.com/paper/2112.13303/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Dec 2021.

## Built on by (most cited first, 2 of 2)

- [Dual-Scale Transformer for Large-Scale Single-Pixel Imaging](https://mlsanity.com/paper/2404.05001/) (2024)
- [Unified, Verifiable Neural Simulators for Electromagnetic Wave Inverse Problems](https://mlsanity.com/paper/2404.00545/) (2024)

## Abstract (arXiv)

Optical imaging through scattering media is a long-standing challenge. Although many approaches have been developed to focus light or image objects through scattering media, they are either invasive, restricted to stationary or slowly-moving media, or require high-resolution cameras and complex algorithms to retrieve the images. Here we introduce a computational imaging technique that can overcome these restrictions by exploiting spatial-temporal encoded patterns (STEP). We present non-invasive imaging through scattering media with a single-pixel photodetector. We show that the method is insensitive to the motions of media. We further demonstrate that our image reconstruction algorithm is much more efficient than correlation-based algorithms for single-pixel imaging, which may allow fast imaging in currently unreachable scenarios.