{"id":"https://openalex.org/W4225292312","doi":"https://doi.org/10.1109/icassp43922.2022.9747368","title":"Terahertz Image Restoration Benchmarking Dataset","display_name":"Terahertz Image Restoration Benchmarking Dataset","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225292312","doi":"https://doi.org/10.1109/icassp43922.2022.9747368"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747368","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5039995701","display_name":"Yixiong Zhang","orcid":"https://orcid.org/0000-0003-0879-3298"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yixiong Zhang","raw_affiliation_strings":["School of Informatics Xiamen University,Xiamen,China,361005"],"affiliations":[{"raw_affiliation_string":"School of Informatics Xiamen University,Xiamen,China,361005","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015893053","display_name":"Zhipeng Su","orcid":"https://orcid.org/0000-0003-0995-7469"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Su","raw_affiliation_strings":["School of Informatics Xiamen University,Xiamen,China,361005"],"affiliations":[{"raw_affiliation_string":"School of Informatics Xiamen University,Xiamen,China,361005","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023267084","display_name":"Feng Qi","orcid":"https://orcid.org/0000-0003-0962-8331"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Qi","raw_affiliation_strings":["Chinese Academy of Sciences,Shenyang Institute of Automation,Shenyang,China,110016"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Shenyang Institute of Automation,Shenyang,China,110016","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081795273","display_name":"Jianyang Zhou","orcid":"https://orcid.org/0000-0003-2402-0156"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyang Zhou","raw_affiliation_strings":["Xiamen University,School of Electronic Science and Engineering,Xiamen,China","School of Electronic Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Electronic Science and Engineering,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Electronic Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100363146","display_name":"Xiao\u2013Ping Zhang","orcid":"https://orcid.org/0000-0001-5241-0069"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiao-Ping Zhang","raw_affiliation_strings":["Ryerson University,Department of Electrical, Computer and Biomedical Engineering,Canada","Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Canada"],"affiliations":[{"raw_affiliation_string":"Ryerson University,Department of Electrical, Computer and Biomedical Engineering,Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Canada","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039995701"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.9673,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66152486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1700","last_page":"1704"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10752","display_name":"Terahertz technology and applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10752","display_name":"Terahertz technology and applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10862","display_name":"AI in cancer detection","score":0.9368000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9337999820709229,"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/terahertz-radiation","display_name":"Terahertz radiation","score":0.9278512001037598},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.8206735849380493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6514785289764404},{"id":"https://openalex.org/keywords/point-spread-function","display_name":"Point spread function","score":0.6056004166603088},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5543976426124573},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.505720853805542},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5043908357620239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47798699140548706},{"id":"https://openalex.org/keywords/optical-transfer-function","display_name":"Optical transfer function","score":0.45772963762283325},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.45450007915496826},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4360809326171875},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3771812617778778},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3754662871360779},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.34887540340423584},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3268924653530121},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19586148858070374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0986562967300415}],"concepts":[{"id":"https://openalex.org/C107816215","wikidata":"https://www.wikidata.org/wiki/Q647887","display_name":"Terahertz radiation","level":2,"score":0.9278512001037598},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8206735849380493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514785289764404},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.6056004166603088},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5543976426124573},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.505720853805542},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5043908357620239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47798699140548706},{"id":"https://openalex.org/C175231954","wikidata":"https://www.wikidata.org/wiki/Q1942321","display_name":"Optical transfer function","level":2,"score":0.45772963762283325},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.45450007915496826},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4360809326171875},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3771812617778778},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3754662871360779},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.34887540340423584},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3268924653530121},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19586148858070374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0986562967300415},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747368","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7900000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325434","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W66486251","https://openalex.org/W1901129140","https://openalex.org/W2014023231","https://openalex.org/W2117313885","https://openalex.org/W2170608748","https://openalex.org/W2559264300","https://openalex.org/W2740982616","https://openalex.org/W2883102611","https://openalex.org/W2884068670","https://openalex.org/W2912435603","https://openalex.org/W2955307856","https://openalex.org/W2964212750","https://openalex.org/W2971786002","https://openalex.org/W3011828425","https://openalex.org/W3035250394","https://openalex.org/W3101059396","https://openalex.org/W3170697543","https://openalex.org/W3174756006","https://openalex.org/W3176096490","https://openalex.org/W3202040256","https://openalex.org/W6639824700","https://openalex.org/W6753755972","https://openalex.org/W6768057537","https://openalex.org/W6797713423"],"related_works":["https://openalex.org/W2059476049","https://openalex.org/W2094238738","https://openalex.org/W2132132164","https://openalex.org/W2086815862","https://openalex.org/W3044651058","https://openalex.org/W2075287860","https://openalex.org/W3152929143","https://openalex.org/W2160091901","https://openalex.org/W2133316672","https://openalex.org/W4225292312"],"abstract_inverted_index":{"The":[0,13,49],"paper":[1],"introduces":[2],"a":[3,68,85],"new":[4],"terahertz":[5],"(THz)":[6],"image":[7,17,102,119],"benchmarking":[8,120],"dataset":[9,121],"for":[10],"THz":[11,16,43,50,78,109,118],"imaging.":[12],"degradation":[14],"of":[15,21,41,114],"quality":[18],"is":[19,46,89,122,128],"one":[20],"the":[22,37,42,61,82,96,107,112,117,123],"main":[23],"problems":[24],"caused":[25],"by":[26],"system":[27],"noise,":[28],"intrinsic":[29],"long-wavelength,":[30],"and":[31,54,106],"diffraction":[32],"phenomena.":[33],"In":[34],"this":[35],"paper,":[36],"point":[38,62],"spread":[39,63],"function":[40,64],"imaging":[44],"process":[45],"reconstructed":[47],"firstly.":[48],"datasets":[51,105],"with":[52],"ground-truth":[53],"degraded":[55],"images":[56],"are":[57],"then":[58],"synthesized":[59],"using":[60],"(PSF).":[65],"We":[66],"propose":[67],"Dense":[69],"Instantiation":[70],"Normalization":[71],"Block":[72],"(DIN":[73],"Block)":[74],"to":[75],"reconstruct":[76],"clean":[77],"images.":[79],"Based":[80],"on":[81,101],"DIN":[83],"block,":[84],"powerful":[86],"multi-stage":[87],"network":[88],"designed,":[90],"named":[91],"as":[92],"DINet.":[93],"DINet":[94],"achieves":[95],"state-of-the-art":[97],"(SOTA)":[98],"restoration":[99],"performance":[100],"rain":[103],"removal":[104],"proposed":[108],"datasets.":[110],"To":[111],"best":[113],"our":[115],"knowledge,":[116],"first":[124],"public":[125],"dataset,":[126],"which":[127],"available":[129],"at":[130],"https://github.com/hellogry/THzDatasets":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}