Compressive spectral imaging approach using adaptive coded apertures
The coded aperture snapshot spectral imager (CASSI) acquires three-dimensional spectral images with two-dimensional coded projection measurements. This paper proposes an adaptive design method of the coded apertures, according to a priori knowledge of the target scene, to improve sensing efficiency...
Gespeichert in:
| Veröffentlicht in: | Applied optics (2004) 2020-03, Vol.59 (7), p.1924-1938 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1938 |
|---|---|
| container_issue | 7 |
| container_start_page | 1924 |
| container_title | Applied optics (2004) |
| container_volume | 59 |
| creator | Zhang, Hao Ma, Xu Arce, Gonzalo R |
| description | The coded aperture snapshot spectral imager (CASSI) acquires three-dimensional spectral images with two-dimensional coded projection measurements. This paper proposes an adaptive design method of the coded apertures, according to a priori knowledge of the target scene, to improve sensing efficiency and imaging performance of the super-resolution CASSI system. The adaptive coded apertures are constructed from the nonlinear thresholding of the grayscale map of the scene. Theoretical proof is provided to demonstrate the superiority of the adaptive coded apertures over traditional random coded apertures. Improvement in reconstruction performance is also verified by a set of simulations based on different spectral data. |
| doi_str_mv | 10.1364/AO.382854 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2384842278</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2383523124</sourcerecordid><originalsourceid>FETCH-LOGICAL-c348t-14f5ecd81314ae3ad808629ca29582e3433df9bca01b73287c7baf50eca8d5083</originalsourceid><addsrcrecordid>eNpdkE9PwzAMxSMEYmNw4AugSlzg0JHYyZoep_FXmrQLSNyqNElHp3YtSTuJb0_KBgdOtuWfn54fIZeMThnO-N18NUUJUvAjMgYmRIxsJo7JOLRpzEC-j8iZ9xtKUfA0OSUjBACR0HRM7hdN3TrrfbmzkW-t7pyqorJW63K7jlTbukbpj6j3P6NRbTeAujHWhK11XR-Oz8lJoSpvLw51Qt4eH14Xz_Fy9fSymC9jjVx2MeOFsNpIhowri8pIKmeQagWpkGCRI5oizbWiLE8QZKKTXBWCWq2kEVTihNzsdYOrz976LqtLr21Vqa1tep8BSi45QDKg1__QTdO7bXA3UCgAGfBA3e4p7RrvnS2y1oXf3VfGaDZEm81X2T7awF4dFPu8tuaP_M0SvwH6M3LT</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2383523124</pqid></control><display><type>article</type><title>Compressive spectral imaging approach using adaptive coded apertures</title><source>Alma/SFX Local Collection</source><source>Optica Publishing Group Journals</source><creator>Zhang, Hao ; Ma, Xu ; Arce, Gonzalo R</creator><creatorcontrib>Zhang, Hao ; Ma, Xu ; Arce, Gonzalo R</creatorcontrib><description>The coded aperture snapshot spectral imager (CASSI) acquires three-dimensional spectral images with two-dimensional coded projection measurements. This paper proposes an adaptive design method of the coded apertures, according to a priori knowledge of the target scene, to improve sensing efficiency and imaging performance of the super-resolution CASSI system. The adaptive coded apertures are constructed from the nonlinear thresholding of the grayscale map of the scene. Theoretical proof is provided to demonstrate the superiority of the adaptive coded apertures over traditional random coded apertures. Improvement in reconstruction performance is also verified by a set of simulations based on different spectral data.</description><identifier>ISSN: 1559-128X</identifier><identifier>EISSN: 2155-3165</identifier><identifier>EISSN: 1539-4522</identifier><identifier>DOI: 10.1364/AO.382854</identifier><identifier>PMID: 32225709</identifier><language>eng</language><publisher>United States: Optical Society of America</publisher><subject>Adaptive systems ; Apertures ; Image acquisition ; Image reconstruction ; Spectra</subject><ispartof>Applied optics (2004), 2020-03, Vol.59 (7), p.1924-1938</ispartof><rights>Copyright Optical Society of America Mar 1, 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c348t-14f5ecd81314ae3ad808629ca29582e3433df9bca01b73287c7baf50eca8d5083</citedby><cites>FETCH-LOGICAL-c348t-14f5ecd81314ae3ad808629ca29582e3433df9bca01b73287c7baf50eca8d5083</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3258,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32225709$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Hao</creatorcontrib><creatorcontrib>Ma, Xu</creatorcontrib><creatorcontrib>Arce, Gonzalo R</creatorcontrib><title>Compressive spectral imaging approach using adaptive coded apertures</title><title>Applied optics (2004)</title><addtitle>Appl Opt</addtitle><description>The coded aperture snapshot spectral imager (CASSI) acquires three-dimensional spectral images with two-dimensional coded projection measurements. This paper proposes an adaptive design method of the coded apertures, according to a priori knowledge of the target scene, to improve sensing efficiency and imaging performance of the super-resolution CASSI system. The adaptive coded apertures are constructed from the nonlinear thresholding of the grayscale map of the scene. Theoretical proof is provided to demonstrate the superiority of the adaptive coded apertures over traditional random coded apertures. Improvement in reconstruction performance is also verified by a set of simulations based on different spectral data.</description><subject>Adaptive systems</subject><subject>Apertures</subject><subject>Image acquisition</subject><subject>Image reconstruction</subject><subject>Spectra</subject><issn>1559-128X</issn><issn>2155-3165</issn><issn>1539-4522</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpdkE9PwzAMxSMEYmNw4AugSlzg0JHYyZoep_FXmrQLSNyqNElHp3YtSTuJb0_KBgdOtuWfn54fIZeMThnO-N18NUUJUvAjMgYmRIxsJo7JOLRpzEC-j8iZ9xtKUfA0OSUjBACR0HRM7hdN3TrrfbmzkW-t7pyqorJW63K7jlTbukbpj6j3P6NRbTeAujHWhK11XR-Oz8lJoSpvLw51Qt4eH14Xz_Fy9fSymC9jjVx2MeOFsNpIhowri8pIKmeQagWpkGCRI5oizbWiLE8QZKKTXBWCWq2kEVTihNzsdYOrz976LqtLr21Vqa1tep8BSi45QDKg1__QTdO7bXA3UCgAGfBA3e4p7RrvnS2y1oXf3VfGaDZEm81X2T7awF4dFPu8tuaP_M0SvwH6M3LT</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Zhang, Hao</creator><creator>Ma, Xu</creator><creator>Arce, Gonzalo R</creator><general>Optical Society of America</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7X8</scope></search><sort><creationdate>20200301</creationdate><title>Compressive spectral imaging approach using adaptive coded apertures</title><author>Zhang, Hao ; Ma, Xu ; Arce, Gonzalo R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c348t-14f5ecd81314ae3ad808629ca29582e3433df9bca01b73287c7baf50eca8d5083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adaptive systems</topic><topic>Apertures</topic><topic>Image acquisition</topic><topic>Image reconstruction</topic><topic>Spectra</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Hao</creatorcontrib><creatorcontrib>Ma, Xu</creatorcontrib><creatorcontrib>Arce, Gonzalo R</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>Applied optics (2004)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Hao</au><au>Ma, Xu</au><au>Arce, Gonzalo R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Compressive spectral imaging approach using adaptive coded apertures</atitle><jtitle>Applied optics (2004)</jtitle><addtitle>Appl Opt</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>59</volume><issue>7</issue><spage>1924</spage><epage>1938</epage><pages>1924-1938</pages><issn>1559-128X</issn><eissn>2155-3165</eissn><eissn>1539-4522</eissn><abstract>The coded aperture snapshot spectral imager (CASSI) acquires three-dimensional spectral images with two-dimensional coded projection measurements. This paper proposes an adaptive design method of the coded apertures, according to a priori knowledge of the target scene, to improve sensing efficiency and imaging performance of the super-resolution CASSI system. The adaptive coded apertures are constructed from the nonlinear thresholding of the grayscale map of the scene. Theoretical proof is provided to demonstrate the superiority of the adaptive coded apertures over traditional random coded apertures. Improvement in reconstruction performance is also verified by a set of simulations based on different spectral data.</abstract><cop>United States</cop><pub>Optical Society of America</pub><pmid>32225709</pmid><doi>10.1364/AO.382854</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1559-128X |
| ispartof | Applied optics (2004), 2020-03, Vol.59 (7), p.1924-1938 |
| issn | 1559-128X 2155-3165 1539-4522 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2384842278 |
| source | Alma/SFX Local Collection; Optica Publishing Group Journals |
| subjects | Adaptive systems Apertures Image acquisition Image reconstruction Spectra |
| title | Compressive spectral imaging approach using adaptive coded apertures |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T08%3A21%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Compressive%20spectral%20imaging%20approach%20using%20adaptive%20coded%20apertures&rft.jtitle=Applied%20optics%20(2004)&rft.au=Zhang,%20Hao&rft.date=2020-03-01&rft.volume=59&rft.issue=7&rft.spage=1924&rft.epage=1938&rft.pages=1924-1938&rft.issn=1559-128X&rft.eissn=2155-3165&rft_id=info:doi/10.1364/AO.382854&rft_dat=%3Cproquest_cross%3E2383523124%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2383523124&rft_id=info:pmid/32225709&rfr_iscdi=true |