Multi-view in Lensless Compressive Imaging
Hong Jiang, Gang Huang, Paul Wilford

TL;DR
This paper introduces a lensless compressive imaging system capturing multi-view images using an aperture array and multiple sensors, with a theoretical framework for reconstruction and experimental validation of image quality enhancement.
Contribution
It presents a novel lensless multi-view imaging architecture with a theoretical reconstruction framework and experimental results demonstrating improved image quality.
Findings
Successful multi-view image acquisition with lensless setup
Enhanced image quality through multi-view reconstruction
Validation of theoretical framework with experimental results
Abstract
Multi-view images are acquired by a lensless compressive imaging architecture, which consists of an aperture assembly and multiple sensors. The aperture assembly consists of a two dimensional array of aperture elements whose transmittance can be individually controlled to implement a compressive sensing matrix. For each transmittance pattern of the aperture assembly, each of the sensors takes a measurement. The measurement vectors from the multiple sensors represent multi-view images of the same scene. We present theoretical framework for multi-view reconstruction and experimental results for enhancing quality of image using multi-view.
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Taxonomy
TopicsSparse and Compressive Sensing Techniques · Random lasers and scattering media · Microwave Imaging and Scattering Analysis
