Multi-view in Lensless Compressive Imaging

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.