{"id":"https://openalex.org/W4394805052","doi":"https://doi.org/10.1109/tcsvt.2024.3388461","title":"Prior Images Guided Generative Autoencoder Model for Dual-Camera Compressive Spectral Imaging","display_name":"Prior Images Guided Generative Autoencoder Model for Dual-Camera Compressive Spectral Imaging","publication_year":2024,"publication_date":"2024-04-15","ids":{"openalex":"https://openalex.org/W4394805052","doi":"https://doi.org/10.1109/tcsvt.2024.3388461"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3388461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3388461","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100652867","display_name":"Yurong Chen","orcid":"https://orcid.org/0000-0002-6171-4555"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yurong Chen","raw_affiliation_strings":["National Engineering Research Center of Robot Visual Perception and Control Technology, and the College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China","National Engineering Research Center of Robot Visual Perception and Control Technology and with the College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Robot Visual Perception and Control Technology, and the College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"National Engineering Research Center of Robot Visual Perception and Control Technology and with the College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025640070","display_name":"Yaonan Wang","orcid":"https://orcid.org/0000-0002-0519-6458"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaonan Wang","raw_affiliation_strings":["National Engineering Research Center of Robot Visual Perception and Control Technology, and the College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China","National Engineering Research Center of Robot Visual Perception and Control Technology and with the College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Robot Visual Perception and Control Technology, and the College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"National Engineering Research Center of Robot Visual Perception and Control Technology and with the College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100323420","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0002-1803-3148"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["National Engineering Research Center of Robot Visual Perception and Control Technology, and the School of Robotics, Hunan University, Changsha, Hunan, China","National Engineering Research Center of Robot Visual Perception and Control Technology and with the School of Robotics, Hunan University, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Robot Visual Perception and Control Technology, and the School of Robotics, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I4210144102"]},{"raw_affiliation_string":"National Engineering Research Center of Robot Visual Perception and Control Technology and with the School of Robotics, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100652867"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":1.8153,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83826989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"34","issue":"9","first_page":"8629","last_page":"8643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/autoencoder","display_name":"Autoencoder","score":0.7495115995407104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6968187093734741},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6383305788040161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5607972145080566},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5323159098625183},{"id":"https://openalex.org/keywords/spectral-imaging","display_name":"Spectral imaging","score":0.5147595405578613},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.48772820830345154},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4856520891189575},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.44863125681877136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43774744868278503},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.43581780791282654},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.43068206310272217},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3503766655921936},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.14365330338478088},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12960311770439148},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11190643906593323}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7495115995407104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6968187093734741},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6383305788040161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5607972145080566},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5323159098625183},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.5147595405578613},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.48772820830345154},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4856520891189575},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.44863125681877136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43774744868278503},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.43581780791282654},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.43068206310272217},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3503766655921936},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.14365330338478088},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12960311770439148},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11190643906593323},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3388461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3388461","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G6258236843","display_name":null,"funder_award_id":"92148204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7185484708","display_name":null,"funder_award_id":"62027810","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1984864470","https://openalex.org/W2002498099","https://openalex.org/W2005089986","https://openalex.org/W2056370875","https://openalex.org/W2056672982","https://openalex.org/W2079319869","https://openalex.org/W2082608952","https://openalex.org/W2084591647","https://openalex.org/W2097273723","https://openalex.org/W2100109944","https://openalex.org/W2133665775","https://openalex.org/W2138621882","https://openalex.org/W2139182243","https://openalex.org/W2145096794","https://openalex.org/W2154761409","https://openalex.org/W2531751415","https://openalex.org/W2533971697","https://openalex.org/W2534657482","https://openalex.org/W2558569873","https://openalex.org/W2770113520","https://openalex.org/W2884144629","https://openalex.org/W2900435111","https://openalex.org/W2941769495","https://openalex.org/W2963764784","https://openalex.org/W2963814976","https://openalex.org/W2964013315","https://openalex.org/W2980054274","https://openalex.org/W2983736948","https://openalex.org/W3008911924","https://openalex.org/W3035466729","https://openalex.org/W3087334746","https://openalex.org/W3091687261","https://openalex.org/W3096654432","https://openalex.org/W3108567638","https://openalex.org/W3134510327","https://openalex.org/W3135630532","https://openalex.org/W3161700323","https://openalex.org/W3173125503","https://openalex.org/W3188774019","https://openalex.org/W3202550138","https://openalex.org/W3214224911","https://openalex.org/W4221090720","https://openalex.org/W4226277663","https://openalex.org/W4289822355","https://openalex.org/W4292363360","https://openalex.org/W4313062423","https://openalex.org/W4364322709","https://openalex.org/W4366308823","https://openalex.org/W4383618566","https://openalex.org/W4386952144","https://openalex.org/W4387831727","https://openalex.org/W4390874367","https://openalex.org/W6631190155","https://openalex.org/W6838305376"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W4309969736","https://openalex.org/W4394785709","https://openalex.org/W2953501176","https://openalex.org/W2965095304","https://openalex.org/W2470043383","https://openalex.org/W3034474024","https://openalex.org/W2770818364","https://openalex.org/W4317242571"],"abstract_inverted_index":{"Compressive":[0],"Spectral":[1,38],"Imaging":[2,39],"(CSI)":[3],"techniques":[4,31,67],"have":[5],"attracted":[6],"considerable":[7],"attention":[8],"among":[9],"researchers":[10],"for":[11],"their":[12],"ability":[13],"to":[14,72,99,150,159],"simultaneously":[15],"capture":[16],"spatial":[17,152],"and":[18,49,79,104,154],"spectral":[19,124,161],"information":[20,149],"using":[21,117],"low-cost,":[22],"compact":[23],"optical":[24],"components.":[25],"A":[26],"prominent":[27],"example":[28],"of":[29,91,108,113],"CSI":[30],"is":[32,63,167],"the":[33,58,74,88,101,106,164,178],"Dual-Camera":[34],"Coded":[35],"Aperture":[36],"Snapshot":[37],"(DC-CASSI),":[40],"which":[41,120],"involves":[42],"reconstructing":[43],"hyperspectral":[44,80],"images":[45,78,98,115,135,146],"from":[46,96],"CASSI":[47],"measurements":[48],"uncoded":[50,77],"panchromatic":[51],"or":[52],"RGB":[53,97,145],"images.":[54,81],"Despite":[55],"its":[56],"significance,":[57],"reconstruction":[59,102],"process":[60],"in":[61,169],"DC-CASSI":[62,66],"challenging.":[64],"Conventional":[65],"rely":[68],"on":[69],"different":[70],"models":[71],"explore":[73],"similarity":[75],"between":[76],"Nevertheless,":[82],"two":[83],"main":[84],"issues":[85],"persist:":[86],"i)":[87],"effective":[89],"utilization":[90],"<italic":[92,109],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[93,110],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">spatial":[94],"information</i>":[95],"guide":[100],"process,":[103],"ii)":[105],"enhancement":[107],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">spectral":[111],"consistency</i>":[112],"recovered":[114],"when":[116],"panchromatic/RGB":[118],"images,":[119],"inherently":[121],"lack":[122],"precise":[123],"information.":[125],"To":[126],"address":[127],"these":[128],"challenges,":[129],"we":[130],"propose":[131],"a":[132,156,170],"novel":[133],"Prior":[134],"guided":[136],"generative":[137,157,165],"autoEncoder":[138],"(PiE)":[139],"model.":[140],"The":[141],"PiE":[142,180],"model":[143,158,166],"leverages":[144],"as":[147],"prior":[148],"enhance":[151],"details":[153],"designs":[155],"improve":[160],"quality.":[162],"Notably,":[163],"optimized":[168],"self-supervised":[171],"manner.":[172],"Comprehensive":[173],"experimental":[174],"results":[175],"demonstrate":[176],"that":[177],"proposed":[179],"method":[181],"outperforms":[182],"existing":[183],"techniques,":[184],"achieving":[185],"state-of-the-art":[186],"performance.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}