Image quality of compressive single-pixel imaging using different Hadamard orderings

Detalhes bibliográficos
Autor(a) principal: Vaz, Pedro G.
Data de Publicação: 2020
Outros Autores: Amaral, Daniela, Ferreira, L. F. Requicha, Morgado, Miguel, Cardoso, João
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/101234
https://doi.org/10.1364/OE.387612
Resumo: Single-pixel imaging is an imaging technique that has recently attracted a lot of attention from several areas. This paper presents a study on the influence of the Hadamard basis ordering on the image reconstruction quality, using simulation and experimental methods. During this work, five different orderings, Natural, Walsh, Cake-cutting, High Frequency and Random orders, along with two different reconstruction algorithms, TVAL3 and NESTA, were tested. Also, three different noise levels and compression ratios from 0.1 to 1 were evaluated. A single-pixel camera was developed using a digital micromirror device for the experimental phase. For a compression ratio of 0.1, the Cake-cutting order achieved the best reconstruction quality, while the best contrast was achieved by Walsh order. For compression ratios of 0.5, the Walsh and Cake-cutting orders achieved similar results. Both Walsh and Cake-cutting orders reconstructed the images with good quality using compression ratios from 0.3. Finally, the TVAL3 algorithm showed better image reconstruction quality, in comparison with NESTA, when considering compression ratios from 0.1 to 0.5.
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spelling Image quality of compressive single-pixel imaging using different Hadamard orderingsSingle-pixel imaging is an imaging technique that has recently attracted a lot of attention from several areas. This paper presents a study on the influence of the Hadamard basis ordering on the image reconstruction quality, using simulation and experimental methods. During this work, five different orderings, Natural, Walsh, Cake-cutting, High Frequency and Random orders, along with two different reconstruction algorithms, TVAL3 and NESTA, were tested. Also, three different noise levels and compression ratios from 0.1 to 1 were evaluated. A single-pixel camera was developed using a digital micromirror device for the experimental phase. For a compression ratio of 0.1, the Cake-cutting order achieved the best reconstruction quality, while the best contrast was achieved by Walsh order. For compression ratios of 0.5, the Walsh and Cake-cutting orders achieved similar results. Both Walsh and Cake-cutting orders reconstructed the images with good quality using compression ratios from 0.3. Finally, the TVAL3 algorithm showed better image reconstruction quality, in comparison with NESTA, when considering compression ratios from 0.1 to 0.5.2020-04-13info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/101234http://hdl.handle.net/10316/101234https://doi.org/10.1364/OE.387612eng1094-4087Vaz, Pedro G.Amaral, DanielaFerreira, L. F. RequichaMorgado, MiguelCardoso, Joãoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-08-17T23:02:39Zoai:estudogeral.uc.pt:10316/101234Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:18:28.816502Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Image quality of compressive single-pixel imaging using different Hadamard orderings
title Image quality of compressive single-pixel imaging using different Hadamard orderings
spellingShingle Image quality of compressive single-pixel imaging using different Hadamard orderings
Vaz, Pedro G.
title_short Image quality of compressive single-pixel imaging using different Hadamard orderings
title_full Image quality of compressive single-pixel imaging using different Hadamard orderings
title_fullStr Image quality of compressive single-pixel imaging using different Hadamard orderings
title_full_unstemmed Image quality of compressive single-pixel imaging using different Hadamard orderings
title_sort Image quality of compressive single-pixel imaging using different Hadamard orderings
author Vaz, Pedro G.
author_facet Vaz, Pedro G.
Amaral, Daniela
Ferreira, L. F. Requicha
Morgado, Miguel
Cardoso, João
author_role author
author2 Amaral, Daniela
Ferreira, L. F. Requicha
Morgado, Miguel
Cardoso, João
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Vaz, Pedro G.
Amaral, Daniela
Ferreira, L. F. Requicha
Morgado, Miguel
Cardoso, João
description Single-pixel imaging is an imaging technique that has recently attracted a lot of attention from several areas. This paper presents a study on the influence of the Hadamard basis ordering on the image reconstruction quality, using simulation and experimental methods. During this work, five different orderings, Natural, Walsh, Cake-cutting, High Frequency and Random orders, along with two different reconstruction algorithms, TVAL3 and NESTA, were tested. Also, three different noise levels and compression ratios from 0.1 to 1 were evaluated. A single-pixel camera was developed using a digital micromirror device for the experimental phase. For a compression ratio of 0.1, the Cake-cutting order achieved the best reconstruction quality, while the best contrast was achieved by Walsh order. For compression ratios of 0.5, the Walsh and Cake-cutting orders achieved similar results. Both Walsh and Cake-cutting orders reconstructed the images with good quality using compression ratios from 0.3. Finally, the TVAL3 algorithm showed better image reconstruction quality, in comparison with NESTA, when considering compression ratios from 0.1 to 0.5.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-13
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/101234
http://hdl.handle.net/10316/101234
https://doi.org/10.1364/OE.387612
url http://hdl.handle.net/10316/101234
https://doi.org/10.1364/OE.387612
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1094-4087
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