# Temporal compressive edge imaging enabled by a lensless diffuser camera

arXiv: https://arxiv.org/abs/2309.07198 · HTML: https://mlsanity.com/paper/2309.07198/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Sep 2023.

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

- [Incorporating rank-free coupling and external field via an incoherent modulated spatial photonic Ising machine](https://mlsanity.com/paper/2512.21587/) (2025)

## Abstract (arXiv)

Lensless imagers based on diffusers or encoding masks enable high-dimensional imaging from a single shot measurement and have been applied in various applications. However, to further extract image information such as edge detection, conventional post-processing filtering operations are needed after the reconstruction of the original object images in the diffuser imaging systems. Here, we present the concept of a temporal compressive edge detection method based on a lensless diffuser camera, which can directly recover a time sequence of edge images of a moving object from a single-shot measurement, without further post-processing steps. Our approach provides higher image quality during edge detection, compared with the conventional post-processing method. We demonstrate the effectiveness of this approach by both numerical simulation and experiments. The proof-of-concept approach can be further developed with other image post-process operations or versatile computer vision assignments toward task-oriented intelligent lensless imaging systems.