Abstract

In this work we demonstrate a polarization sensitive computational imaging system based on a digital micro-mirror device (DMD) and several single-pixel photodetectors. By taking advantage of computational imaging techniques, the light measured by each single-pixel detector can reconstruct a 2D image for a specific linear polarization state. Using the rapid frame-rate of the DMD to continuously project a series of spatially orthogonal illumination patterns, near video-rate reconstructions can be achieved. In addition we extend this approach to provide full-colour images through a process of sequential colour selection (RGB). Taking the difference between photodetector signals from orthogonal linear polarization states, we obtain images corresponding to the linear Stokes parameters. We apply this rapid polarization sensitive imaging system to inert and biological material. Since the spatial information in the images reconstructed by this approach are determined by the projection system, rather than the detectors, the approach provides perfect pixel registration between the various polarization selective images and associated Stokes parameters. Furthermore, the use of single-pixel detectors and the large operational bandwidth afforded by DMDʼs means that the approach can readily be extended for imaging at wavelengths where detector arrays are unavailable or limited.

Highlights

  • Single-pixel detectors can be used to produce 2D images of objects using a time-varying structured illumination and an appropriate computer algorithm [1,2,3,4,5,6,7,8,9,10,11,12]

  • In this work we demonstrate a colour computational imaging system which has been made polarization sensitive and has the ability to reconstruct the linear Stokes parameters simultaneously

  • The results allow a qualitative characterisation of the systems response to a multifaced object, and may allow direct comparison to previously reported Stokes parameter imaging utilising detector arrays

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Summary

Introduction

Single-pixel detectors can be used to produce 2D images of objects using a time-varying structured illumination and an appropriate computer algorithm [1,2,3,4,5,6,7,8,9,10,11,12]. The single-pixel photodetector is used to measure the overlap between the projected illumination pattern and the object. Resolution images produced with this approach have arguably inhibited widespread application when compared to conventional imaging systems utilising detector arrays. These limitations are directly related to the available hardware and computer processing power. Recent advances in micro-electromechanical systems technology and ever faster computation provide a rapidly changing platform on which computational imaging may offer alternative imaging solutions, at wavelengths where a detector array is expensive or even unobtainable

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