{"id":"https://openalex.org/W2973086005","doi":"https://doi.org/10.1109/access.2019.2939784","title":"Computational Depth Imaging Using the Fast Deconvolution Method","display_name":"Computational Depth Imaging Using the Fast Deconvolution Method","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2973086005","doi":"https://doi.org/10.1109/access.2019.2939784","mag":"2973086005"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2939784","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2939784","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08827505.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08827505.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shen Shanshan","orcid":"https://orcid.org/0000-0003-2754-0448"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Shanshan","raw_affiliation_strings":["College of Zijin, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2754-0448","affiliations":[{"raw_affiliation_string":"College of Zijin, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Qian","raw_affiliation_strings":["Jiangsu Key Laboratory of Spectral Imaging and Intelligence Sense (SIIS), Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Spectral Imaging and Intelligence Sense (SIIS), Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043718729","display_name":"He Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Wei Ji","raw_affiliation_strings":["Jiangsu Key Laboratory of Spectral Imaging and Intelligence Sense (SIIS), Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Spectral Imaging and Intelligence Sense (SIIS), Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084447012","display_name":"Gu Guo Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gu Guo Hua","raw_affiliation_strings":["Jiangsu Key Laboratory of Spectral Imaging and Intelligence Sense (SIIS), Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Spectral Imaging and Intelligence Sense (SIIS), Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07947399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"132153","last_page":"132160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.8056182861328125},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.6889159679412842},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5640740990638733},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5283330678939819},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5094874501228333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5060862898826599},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4979991912841797},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4850243926048279},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4313858151435852},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4307800531387329},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.36256730556488037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35593098402023315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2893354296684265},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1808791160583496},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09758755564689636},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08004957437515259}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8056182861328125},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.6889159679412842},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5640740990638733},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5283330678939819},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5094874501228333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5060862898826599},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4979991912841797},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4850243926048279},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4313858151435852},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4307800531387329},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.36256730556488037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35593098402023315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2893354296684265},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1808791160583496},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09758755564689636},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08004957437515259},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2939784","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2939784","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08827505.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bf9f0f0e03d6400da3818018cdec053c","is_oa":true,"landing_page_url":"https://doaj.org/article/bf9f0f0e03d6400da3818018cdec053c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 132153-132160 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2939784","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2939784","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08827505.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4189068308","display_name":null,"funder_award_id":"61875088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4462415359","display_name":"\u5149\u5b66\u7b49\u9ad8\u538b\u7f29\u4e09\u7ef4\u6210\u50cf\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61271332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G542383289","display_name":null,"funder_award_id":"30920140112012","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G655616900","display_name":null,"funder_award_id":"61875088","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2973086005.pdf","grobid_xml":"https://content.openalex.org/works/W2973086005.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W624915932","https://openalex.org/W1968850911","https://openalex.org/W1970014753","https://openalex.org/W1978943697","https://openalex.org/W1989875243","https://openalex.org/W1997814978","https://openalex.org/W1999822145","https://openalex.org/W2000911798","https://openalex.org/W2004799456","https://openalex.org/W2015600010","https://openalex.org/W2027032914","https://openalex.org/W2027443652","https://openalex.org/W2035449708","https://openalex.org/W2043236320","https://openalex.org/W2048135175","https://openalex.org/W2056990430","https://openalex.org/W2114350394","https://openalex.org/W2123644385","https://openalex.org/W2138966546","https://openalex.org/W2543532400","https://openalex.org/W2568302110","https://openalex.org/W2625814605","https://openalex.org/W3148406317","https://openalex.org/W6685174073","https://openalex.org/W6731539807","https://openalex.org/W7020428649"],"related_works":["https://openalex.org/W1968270095","https://openalex.org/W4296478327","https://openalex.org/W1960072520","https://openalex.org/W2042397106","https://openalex.org/W4361730764","https://openalex.org/W1965029248","https://openalex.org/W2220129715","https://openalex.org/W2387596242","https://openalex.org/W2334650942","https://openalex.org/W2537408670"],"abstract_inverted_index":{"Pseudo-random":[0],"spread":[1,18],"spectrum":[2,19],"photon":[3,20],"counting":[4,21],"(PSSPC)":[5],"is":[6,28,38,44,58,62,145],"a":[7,23,41,77,146],"well-established":[8],"technique":[9,26,96],"for":[10,138,155],"three-dimensional":[11],"(3D)":[12],"imaging.":[13],"Based":[14],"on":[15,64],"the":[16,48,52,65,74,84,98,105,114,135,139,152],"pseudo-random":[17],"system,":[22],"fast":[24],"imaging":[25,95],"that":[27,93],"able":[29],"to":[30,46,110,132],"accurately":[31],"recover":[32],"multiple":[33],"depths":[34],"at":[35,117],"individual":[36],"pixels":[37],"presented.":[39],"Firstly,":[40],"pre-filtering":[42],"algorithm":[43,57],"used":[45],"denoise":[47],"original":[49],"data.":[50],"Then":[51],"accelerated":[53],"Richardson-Lucy":[54],"iterative":[55],"deconvolution":[56],"introduced.":[59],"The":[60,122],"method":[61,137,154],"based":[63],"principles":[66],"of":[67,76,86,142,148],"vector":[68],"extrapolation":[69],"and":[70],"does":[71],"not":[72],"require":[73],"minimization":[75],"cost":[78],"function.":[79],"For":[80],"multi-depth":[81,156],"estimation":[82],"in":[83],"presence":[85],"moderate":[87],"background":[88],"light,":[89],"we":[90],"experimentally":[91],"demonstrate":[92],"our":[94,159],"outperforms":[97],"existing":[99],"method.":[100],"We":[101],"have":[102],"successfully":[103],"improved":[104],"range":[106],"resolution":[107,120,165],"from":[108,174],"21cm":[109],"8cm,":[111],"thus":[112],"breaking":[113],"Full":[115],"Width":[116],"Half-Maximum":[118],"(FWHM)":[119],"limit.":[121],"separation":[123,141],"Root":[124],"Mean":[125],"Square":[126],"Error":[127],"(RMSE)":[128],"has":[129,161],"been":[130],"reduced":[131],"3.82cm":[133],"by":[134,166],"proposed":[136],"surface-to-surface":[140],"8cm.":[143],"This":[144],"factor":[147],"4":[149],"improvement":[150],"over":[151],"conventional":[153],"recovery.":[157],"Also,":[158],"imager":[160],"achieved":[162],"0.5cm":[163,172],"lateral":[164],"distinguishing":[167],"two":[168],"squares":[169],"closely":[170],"placed":[171],"apart":[173],"each":[175],"other.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}