A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging

Abstract Single-pixel imaging is an alternate imaging technique particularly well-suited to imaging modalities such as hyper-spectral imaging, depth mapping, 3D profiling. However, the single-pixel technique requires sequential measurements resulting in a trade-off between spatial resolution and acq...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Ming-Jie Sun, Ling-Tong Meng, Matthew P. Edgar, Miles J. Padgett, Neal Radwell
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b9c7b5e28dff47e0b21493b3f491c3fd
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:b9c7b5e28dff47e0b21493b3f491c3fd
record_format	dspace
spelling	oai:doaj.org-article:b9c7b5e28dff47e0b21493b3f491c3fd2021-12-02T11:40:45ZA Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging10.1038/s41598-017-03725-62045-2322https://doaj.org/article/b9c7b5e28dff47e0b21493b3f491c3fd2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03725-6https://doaj.org/toc/2045-2322Abstract Single-pixel imaging is an alternate imaging technique particularly well-suited to imaging modalities such as hyper-spectral imaging, depth mapping, 3D profiling. However, the single-pixel technique requires sequential measurements resulting in a trade-off between spatial resolution and acquisition time, limiting real-time video applications to relatively low resolutions. Compressed sensing techniques can be used to improve this trade-off. However, in this low resolution regime, conventional compressed sensing techniques have limited impact due to lack of sparsity in the datasets. Here we present an alternative compressed sensing method in which we optimize the measurement order of the Hadamard basis, such that at discretized increments we obtain complete sampling for different spatial resolutions. In addition, this method uses deterministic acquisition, rather than the randomized sampling used in conventional compressed sensing. This so-called ‘Russian Dolls’ ordering also benefits from minimal computational overhead for image reconstruction. We find that this compressive approach performs as well as other compressive sensing techniques with greatly simplified post processing, resulting in significantly faster image reconstruction. Therefore, the proposed method may be useful for single-pixel imaging in the low resolution, high-frame rate regime, or video-rate acquisition.Ming-Jie SunLing-Tong MengMatthew P. EdgarMiles J. PadgettNeal RadwellNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-7 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ming-Jie Sun Ling-Tong Meng Matthew P. Edgar Miles J. Padgett Neal Radwell A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging
description	Abstract Single-pixel imaging is an alternate imaging technique particularly well-suited to imaging modalities such as hyper-spectral imaging, depth mapping, 3D profiling. However, the single-pixel technique requires sequential measurements resulting in a trade-off between spatial resolution and acquisition time, limiting real-time video applications to relatively low resolutions. Compressed sensing techniques can be used to improve this trade-off. However, in this low resolution regime, conventional compressed sensing techniques have limited impact due to lack of sparsity in the datasets. Here we present an alternative compressed sensing method in which we optimize the measurement order of the Hadamard basis, such that at discretized increments we obtain complete sampling for different spatial resolutions. In addition, this method uses deterministic acquisition, rather than the randomized sampling used in conventional compressed sensing. This so-called ‘Russian Dolls’ ordering also benefits from minimal computational overhead for image reconstruction. We find that this compressive approach performs as well as other compressive sensing techniques with greatly simplified post processing, resulting in significantly faster image reconstruction. Therefore, the proposed method may be useful for single-pixel imaging in the low resolution, high-frame rate regime, or video-rate acquisition.
format	article
author	Ming-Jie Sun Ling-Tong Meng Matthew P. Edgar Miles J. Padgett Neal Radwell
author_facet	Ming-Jie Sun Ling-Tong Meng Matthew P. Edgar Miles J. Padgett Neal Radwell
author_sort	Ming-Jie Sun
title	A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging
title_short	A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging
title_full	A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging
title_fullStr	A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging
title_full_unstemmed	A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging
title_sort	russian dolls ordering of the hadamard basis for compressive single-pixel imaging
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/b9c7b5e28dff47e0b21493b3f491c3fd
work_keys_str_mv	AT mingjiesun arussiandollsorderingofthehadamardbasisforcompressivesinglepixelimaging AT lingtongmeng arussiandollsorderingofthehadamardbasisforcompressivesinglepixelimaging AT matthewpedgar arussiandollsorderingofthehadamardbasisforcompressivesinglepixelimaging AT milesjpadgett arussiandollsorderingofthehadamardbasisforcompressivesinglepixelimaging AT nealradwell arussiandollsorderingofthehadamardbasisforcompressivesinglepixelimaging AT mingjiesun russiandollsorderingofthehadamardbasisforcompressivesinglepixelimaging AT lingtongmeng russiandollsorderingofthehadamardbasisforcompressivesinglepixelimaging AT matthewpedgar russiandollsorderingofthehadamardbasisforcompressivesinglepixelimaging AT milesjpadgett russiandollsorderingofthehadamardbasisforcompressivesinglepixelimaging AT nealradwell russiandollsorderingofthehadamardbasisforcompressivesinglepixelimaging
_version_	1718395541481586688

A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging

Ejemplares similares