{"id":"https://openalex.org/W4396982422","doi":"https://doi.org/10.1109/tcsvt.2024.3402095","title":"Complementary Blind-Spot Network for Self-Supervised Real Image Denoising","display_name":"Complementary Blind-Spot Network for Self-Supervised Real Image Denoising","publication_year":2024,"publication_date":"2024-05-16","ids":{"openalex":"https://openalex.org/W4396982422","doi":"https://doi.org/10.1109/tcsvt.2024.3402095"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3402095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3402095","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/A5000298140","display_name":"Linwei Fan","orcid":"https://orcid.org/0000-0001-9986-2396"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linwei Fan","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603951","display_name":"Jin Cui","orcid":"https://orcid.org/0009-0008-8097-9955"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Cui","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606117","display_name":"Huiyu Li","orcid":"https://orcid.org/0000-0003-2272-0984"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyu Li","raw_affiliation_strings":["School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan, China","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054550331","display_name":"Xiaoyu Yan","orcid":"https://orcid.org/0009-0008-3356-6939"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Yan","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101520989","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0002-8363-4468"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101753050","display_name":"Caiming Zhang","orcid":"https://orcid.org/0000-0003-0217-1543"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Caiming Zhang","raw_affiliation_strings":["Shandong Key Laboratory of Digital Media Technology, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Key Laboratory of Digital Media Technology, Jinan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000298140"],"corresponding_institution_ids":["https://openalex.org/I59483232"],"apc_list":null,"apc_paid":null,"fwci":5.2875,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.96616367,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"34","issue":"10","first_page":"10107","last_page":"10120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9789000153541565,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9789000153541565,"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":0.9786999821662903,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9671000242233276,"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/computer-science","display_name":"Computer science","score":0.6311461925506592},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5975220799446106},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.5380197763442993},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5266454219818115},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48899757862091064},{"id":"https://openalex.org/keywords/blind-spot","display_name":"Blind spot","score":0.47786229848861694},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.464307576417923},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4566281735897064},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4443262219429016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6311461925506592},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5975220799446106},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.5380197763442993},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5266454219818115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48899757862091064},{"id":"https://openalex.org/C64731932","wikidata":"https://www.wikidata.org/wiki/Q371090","display_name":"Blind spot","level":2,"score":0.47786229848861694},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.464307576417923},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4566281735897064},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4443262219429016}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3402095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3402095","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G5070134275","display_name":null,"funder_award_id":"ZR2021QF134","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G5238455012","display_name":null,"funder_award_id":"62002200","funder_id":"https://openalex.org/F4320333688","funder_display_name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China"},{"id":"https://openalex.org/G7514284052","display_name":null,"funder_award_id":"ZR2020QF012","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8276484585","display_name":null,"funder_award_id":"22DGLJO11","funder_id":"https://openalex.org/F4320336624","funder_display_name":"Social Science Planning Project of Shandong Province"},{"id":"https://openalex.org/G8521139867","display_name":null,"funder_award_id":"62202268","funder_id":"https://openalex.org/F4320333688","funder_display_name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320333688","display_name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China","ror":null},{"id":"https://openalex.org/F4320336624","display_name":"Social Science Planning Project of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W2003884262","https://openalex.org/W2048695508","https://openalex.org/W2061764838","https://openalex.org/W2097073572","https://openalex.org/W2133665775","https://openalex.org/W2153663612","https://openalex.org/W2172275395","https://openalex.org/W2508457857","https://openalex.org/W2764207251","https://openalex.org/W2798278116","https://openalex.org/W2799192307","https://openalex.org/W2898702547","https://openalex.org/W2902857081","https://openalex.org/W2949069602","https://openalex.org/W2953231542","https://openalex.org/W2962767526","https://openalex.org/W2962785568","https://openalex.org/W2963350227","https://openalex.org/W2963725279","https://openalex.org/W2967641264","https://openalex.org/W2967709485","https://openalex.org/W2971719842","https://openalex.org/W2997053073","https://openalex.org/W2997508111","https://openalex.org/W2999653953","https://openalex.org/W3017136408","https://openalex.org/W3017169454","https://openalex.org/W3034902810","https://openalex.org/W3035383808","https://openalex.org/W3041324976","https://openalex.org/W3097262261","https://openalex.org/W3098337560","https://openalex.org/W3099686304","https://openalex.org/W3106758205","https://openalex.org/W3174829522","https://openalex.org/W3178192988","https://openalex.org/W3204358387","https://openalex.org/W4200376132","https://openalex.org/W4210842583","https://openalex.org/W4224104371","https://openalex.org/W4225672218","https://openalex.org/W4312444885","https://openalex.org/W4312518509","https://openalex.org/W4312575110","https://openalex.org/W4312624488","https://openalex.org/W4312678820","https://openalex.org/W4312896951","https://openalex.org/W4312938066","https://openalex.org/W4321482139","https://openalex.org/W4322576594","https://openalex.org/W4323338593","https://openalex.org/W4385804839","https://openalex.org/W4386057768","https://openalex.org/W4386075601","https://openalex.org/W4390204279","https://openalex.org/W6749271710","https://openalex.org/W6759001153","https://openalex.org/W6762734363","https://openalex.org/W6767022471","https://openalex.org/W6783605461"],"related_works":["https://openalex.org/W2895947835","https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W2387428419","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W2353444452","https://openalex.org/W2001438600","https://openalex.org/W2499707420","https://openalex.org/W2392458921"],"abstract_inverted_index":{"Recently,":[0],"self-supervised":[1,27,107,144,222],"denoising":[2,110,223],"methods":[3],"have":[4],"attracted":[5],"significant":[6,93],"attention":[7],"due":[8,82,168],"to":[9,50,66,77,83,129,160,169,190,218],"the":[10,37,51,62,67,84,92,131,157,162,198],"considerable":[11],"challenge":[12],"posed":[13],"by":[14,135],"constructing":[15],"a":[16,72,105,149],"large-scale":[17],"real":[18,179],"noise":[19,81,172],"dataset":[20],"for":[21,57,143,154,178,195],"supervised":[22],"training.":[23],"The":[24,225],"most":[25],"representative":[26],"denoisers":[28],"are":[29],"based":[30,114],"on":[31,115,208],"blind-spot":[32],"networks":[33],"(BSNs),":[34],"which":[35],"exclude":[36],"central":[38],"pixel":[39,47,64],"of":[40,53,87,164],"receptive":[41],"field.":[42],"However,":[43],"excluding":[44],"any":[45],"input":[46],"potentially":[48],"leads":[49],"loss":[52,127],"vital":[54],"information":[55,133],"required":[56],"accurate":[58],"predictions,":[59],"especially":[60],"when":[61],"excluded":[63],"corresponds":[65],"output":[68],"position.":[69],"In":[70,100],"addition,":[71],"standard":[73],"BSN":[74],"has":[75],"struggled":[76],"effectively":[78],"reduce":[79],"real-world":[80,108,209],"spatial":[85],"correlation":[86,159],"noise,":[88],"though":[89],"it":[90],"makes":[91],"results":[94],"with":[95,124],"independently":[96],"distributed":[97],"synthetic":[98],"noise.":[99,180],"this":[101],"paper,":[102],"we":[103,147,182],"propose":[104],"novel":[106],"image":[109,165],"framework":[111],"called":[112],"Complementary-BSN":[113,175],"two":[116],"reciprocal":[117],"branches":[118],"(Mask-Map":[119],"branch":[120],"and":[121,138,173,203],"Enhanced-PD-BSN":[122],"branch)":[123],"an":[125,184],"efficient":[126,185],"function":[128],"employ":[130],"pixels":[132],"ignored":[134],"masked":[136],"convolution":[137],"provide":[139],"additional":[140],"optimization":[141],"target":[142],"output.":[145],"Specifically,":[146],"exploit":[148],"block-wise":[150],"random-placing":[151],"(BRP)":[152],"scheme":[153],"further":[155],"weaken":[156],"noisy":[158],"avoid":[161],"illusion":[163],"structure":[166],"recovery":[167],"existing":[170],"complex":[171],"make":[174],"more":[176],"suitable":[177],"Additionally,":[181],"develop":[183],"strategy":[186],"(multi-stride":[187],"PD":[188,193],"(MPD))":[189],"fuse":[191],"multiple":[192],"strides":[194],"inference,":[196],"narrowing":[197],"restoration":[199],"gap":[200],"between":[201],"textural":[202],"flat":[204],"regions.":[205],"Extensive":[206],"experiments":[207],"datasets":[210],"demonstrate":[211],"that":[212],"our":[213],"method":[214],"achieves":[215],"superior":[216],"performance":[217],"other":[219],"state-of-the-art":[220],"(SOTA)":[221],"methods.":[224],"code":[226],"is":[227],"available":[228],"at":[229],"<uri":[230],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[231],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/cuijin7382/Complementary-BSN</uri>.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":18}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
