{"id":"https://openalex.org/W3163720395","doi":"https://doi.org/10.1109/lsp.2021.3077801","title":"Infrared Image Super-Resolution via Transfer Learning and PSRGAN","display_name":"Infrared Image Super-Resolution via Transfer Learning and PSRGAN","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3163720395","doi":"https://doi.org/10.1109/lsp.2021.3077801","mag":"3163720395"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2021.3077801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3077801","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5101074338","display_name":"Yongsong Huang","orcid":"https://orcid.org/0000-0003-3114-9206"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongsong Huang","raw_affiliation_strings":["Guangxi Key Lab Images and Graph Intelligent Processing, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0003-3114-9206","affiliations":[{"raw_affiliation_string":"Guangxi Key Lab Images and Graph Intelligent Processing, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051764820","display_name":"Zetao Jiang","orcid":"https://orcid.org/0000-0002-0914-2131"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zetao Jiang","raw_affiliation_strings":["Guangxi Key Lab Images and Graph Intelligent Processing, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Lab Images and Graph Intelligent Processing, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045514825","display_name":"Rushi Lan","orcid":"https://orcid.org/0000-0002-9488-8236"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rushi Lan","raw_affiliation_strings":["Guangxi Key Lab Images and Graph Intelligent Processing, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0002-9488-8236","affiliations":[{"raw_affiliation_string":"Guangxi Key Lab Images and Graph Intelligent Processing, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039660872","display_name":"Shao\u2010Qin Zhang","orcid":"https://orcid.org/0000-0001-6811-5822"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoqin Zhang","raw_affiliation_strings":["Nanchang Hangkong University, Nanchang, China","[Nanchang Hangkong Univ., Nanchang, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]},{"raw_affiliation_string":"[Nanchang Hangkong Univ., Nanchang, China]","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026226117","display_name":"Kui Pi","orcid":"https://orcid.org/0000-0001-6409-397X"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kui Pi","raw_affiliation_strings":["Guangxi Key Lab Images and Graph Intelligent Processing, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Lab Images and Graph Intelligent Processing, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101074338"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":5.3341,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":{"value":0.96734885,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"28","issue":null,"first_page":"982","last_page":"986"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9958999752998352,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9944000244140625,"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/computer-science","display_name":"Computer science","score":0.7840791940689087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7021536231040955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5980242490768433},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5871915221214294},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5736805200576782},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.491820365190506},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45315974950790405},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44319629669189453},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.42680075764656067},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3740595877170563},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21942344307899475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10185924172401428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7840791940689087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7021536231040955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5980242490768433},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5871915221214294},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5736805200576782},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.491820365190506},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45315974950790405},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44319629669189453},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.42680075764656067},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3740595877170563},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21942344307899475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10185924172401428},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2021.3077801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3077801","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1572063013","https://openalex.org/W1686810756","https://openalex.org/W1885185971","https://openalex.org/W2104094955","https://openalex.org/W2165698076","https://openalex.org/W2531409750","https://openalex.org/W2588000623","https://openalex.org/W2613594293","https://openalex.org/W2739757502","https://openalex.org/W2770501762","https://openalex.org/W2772136803","https://openalex.org/W2886209123","https://openalex.org/W2891158090","https://openalex.org/W2919115771","https://openalex.org/W2950073891","https://openalex.org/W2955192706","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963635623","https://openalex.org/W2963774720","https://openalex.org/W2964121744","https://openalex.org/W2964277374","https://openalex.org/W2980606026","https://openalex.org/W3002944878","https://openalex.org/W3011005573","https://openalex.org/W3013765727","https://openalex.org/W3034247386","https://openalex.org/W3034870355","https://openalex.org/W3035467803","https://openalex.org/W3035557850","https://openalex.org/W3036638924","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6728184133","https://openalex.org/W6742283504","https://openalex.org/W6754405603","https://openalex.org/W6769654834","https://openalex.org/W6773224681","https://openalex.org/W6775074030","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W4375928479","https://openalex.org/W3131673289","https://openalex.org/W3178390372","https://openalex.org/W3198847674"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,50,92,117],"single":[3],"image":[4,33,91,116],"super-resolution":[5,64],"(SISR)":[6],"demonstrate":[7],"the":[8,23,28,35,51,62,71,86,89,93,97,109,112,118,128,135,145,166],"power":[9],"of":[10,37,53,88,111,153],"deep":[11],"learning":[12,131],"for":[13,30,42,133],"achieving":[14],"better":[15,162],"performance.":[16,147],"Because":[17],"it":[18],"is":[19,82,105],"costly":[20],"to":[21,84,107,165],"recollect":[22],"training":[24],"data":[25],"and":[26,74,150],"retrain":[27],"model":[29],"infrared":[31],"(IR)":[32],"super-resolution,":[34],"availability":[36],"only":[38],"a":[39],"few":[40],"samples":[41],"restoring":[43],"IR":[44,90],"images":[45],"presents":[46],"an":[47],"important":[48],"challenge":[49],"field":[52],"SISR.":[54],"To":[55],"solve":[56],"this":[57],"problem,":[58],"we":[59,126],"first":[60],"propose":[61,127],"progressive":[63],"generative":[65],"adversarial":[66],"network":[67],"(PSRGAN)":[68],"that":[69,142,158],"includes":[70],"main":[72,94],"path":[73],"branch":[75],"path.":[76,95,120],"The":[77],"depthwise":[78],"residual":[79,102],"block":[80,103],"(DWRB)":[81],"used":[83,106],"represent":[85],"features":[87,110],"Then,":[96],"novel":[98],"shallow":[99],"lightweight":[100],"distillation":[101],"(SLDRB)":[104],"extract":[108],"readily":[113],"available":[114],"visible":[115],"other":[119],"Furthermore,":[121],"inspired":[122],"by":[123],"transfer":[124,130],"learning,":[125],"multistage":[129],"strategy":[132],"bridging":[134],"gap":[136],"between":[137],"different":[138],"high-dimensional":[139],"feature":[140],"spaces":[141],"can":[143,160],"improve":[144],"PSGAN":[146],"Finally,":[148],"quantitative":[149],"qualitative":[151],"evaluations":[152],"two":[154],"public":[155],"datasets":[156],"show":[157],"PSRGAN":[159],"achieve":[161],"results":[163],"compared":[164],"SR":[167],"methods.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}