CVMay 30, 2013

Lensless Imaging by Compressive Sensing

arXiv:1305.7181v1150 citations
Originality Incremental advance
AI Analysis

This enables lensless imaging for surveillance applications across various spectra, but it is incremental as it builds on existing compressive sensing methods.

The authors tackled the problem of lensless imaging by proposing a compressive sensing architecture using a controllable aperture array and a single sensor, achieving a simple and reliable system demonstrated with a prototype for visible spectrum imaging.

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.

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