Lensless Imaging by Compressive Sensing
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Abstract (arXiv)
In this paper, we propose a lensless compressive imaging architecture. The architecture consists of two components, an aperture assembly and a sensor. No lens is used. The aperture assembly consists of a two dimensional array of aperture elements. The transmittance of each aperture element is independently controllable. The sensor is a single detection element. A compressive sensing matrix is implemented by adjusting the transmittance of the individual aperture elements according to the values of the sensing matrix. The proposed architecture is simple and reliable because no lens is used. The architecture can be used for capturing images of visible and other spectra such as infrared, or millimeter waves, in surveillance applications for detecting anomalies or extracting features such as speed of moving objects. Multiple sensors may be used with a single aperture assembly to capture multi-view images simultaneously. A prototype was built by using a LCD panel and a photoelectric sensor for capturing images of visible spectrum.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 May 2013.
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Citing papers per year: 2021: 1; 2022: 3; 2023: 1; 2024: 2; 2025: 1; 2026: 2.
10 papers.
- 2021Untrained networks for compressive lensless photographycited by 13
- 2022Unrolled Primal-Dual Networks for Lensless Camerascited by 8
- 2025Towards Robust and Generalizable Lensless Imaging with Modular Learned Reconstructioncited by 4
- 2022Privacy-Enhancing Optical Embeddings for Lensless Classificationcited by 3
- 2024LenslessFace: An End-to-End Optimized Lensless System for Privacy-Preserving Face Verificationcited by 2
- 2022Learning rich optical embeddings for privacy-preserving lensless image classificationcited by 1
- 2024Deep Network for Image Compressed Sensing Coding Using Local Structural Samplingcited by 1
- 2023Human-Imperceptible Identification with Learnable Lensless Imagingcited by 0
- 2026Guided Lensless Polarization Imagingcited by 0
- 2026Lensless Gaze Is Not Private by Default: Auditing Identity Leakage Across Disclosure Surfacescited by 0
- 2026Lensless Gaze Is Not Private by Default: Auditing Identity Leakage Across Disclosure Surfaces31 Aug 2026
- 2026Guided Lensless Polarization Imaging28 Mar 2026
- 2025Towards Robust and Generalizable Lensless Imaging with Modular Learned Reconstruction3 Feb 2025
- 2024LenslessFace: An End-to-End Optimized Lensless System for Privacy-Preserving Face Verification6 Jun 2024
- 2024Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling29 Feb 2024
- 2023Human-Imperceptible Identification with Learnable Lensless Imaging4 Feb 2023
- 2022Privacy-Enhancing Optical Embeddings for Lensless Classification23 Nov 2022
- 2022Learning rich optical embeddings for privacy-preserving lensless image classification3 Jun 2022
- 2022Unrolled Primal-Dual Networks for Lensless Cameras8 Mar 2022
- 2021Untrained networks for compressive lensless photography13 Mar 2021