Multi-view in lensless compressive imaging

Gang Huang,Hong Jiang,Paul Wilford

doi:10.1017/atsip.2014.16

Gang Huang, Hong Jiang + Show 1 more

Open Access

https://doi.org/10.1017/atsip.2014.16

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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 compressive measurements from multiple sensors.

Highlights

Lensless compressive imaging [1] is an effective architecture to acquire images using compressive sensing [2]
A sensing matrix is implemented by adjusting the transmittance of the individual aperture elements according to the values of the sensing matrix
Note that the image in (1) is defined mathematically, and it is defined in the region of the aperture assembly, there is not an actual image physically formed in the lensless compressive imaging architecture

Summary

INTRODUCTION

Lensless compressive imaging [1] is an effective architecture to acquire images using compressive sensing [2]. When the scene is sufficiently far away, the measurement vectors from the sensors may be considered to be independent measurements of a common image and they may be concatenated into a larger set of measurements to reconstruct the common image This effectively increases number of measurements that are taken for the image in a given duration of time. Note that the image in (1) is defined mathematically, and it is defined in the region of the aperture assembly, there is not an actual image physically formed in the lensless compressive imaging architecture For this reason, the image of (1) is said to be a virtual image. The virtual image may be defined on any plane that is placed in between the sensor and the aperture assembly and parallel to the aperture assembly

LENSLESS COMPRESSIVE IMAGING

MULTI-VIEW IMAGING

EXPERIMENT

CONCLUSION