{"id":"https://openalex.org/W4408443188","doi":"https://doi.org/10.1109/tim.2025.3551427","title":"Dual-Sampling Noise2Noise: Efficient Single-Image Denoising","display_name":"Dual-Sampling Noise2Noise: Efficient Single-Image Denoising","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408443188","doi":"https://doi.org/10.1109/tim.2025.3551427"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3551427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3551427","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5006091626","display_name":"Jibo Bai","orcid":"https://orcid.org/0000-0001-9601-5503"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jibo Bai","raw_affiliation_strings":["School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China","School of Mechanical Engineering, University of Shanghai for Science and Technology, Jungong Road 516, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9601-5503","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]},{"raw_affiliation_string":"School of Mechanical Engineering, University of Shanghai for Science and Technology, Jungong Road 516, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002059219","display_name":"Daqi Zhu","orcid":"https://orcid.org/0000-0001-7252-4952"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daqi Zhu","raw_affiliation_strings":["School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China","School of Mechanical Engineering, University of Shanghai for Science and Technology, Jungong Road 516, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7252-4952","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]},{"raw_affiliation_string":"School of Mechanical Engineering, University of Shanghai for Science and Technology, Jungong Road 516, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101538376","display_name":"Mingzhi Chen","orcid":"https://orcid.org/0000-0003-3240-909X"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingzhi Chen","raw_affiliation_strings":["School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China","School of Mechanical Engineering, University of Shanghai for Science and Technology, Jungong Road 516, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3240-909X","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]},{"raw_affiliation_string":"School of Mechanical Engineering, University of Shanghai for Science and Technology, Jungong Road 516, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.5446,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.96605752,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9919999837875366,"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":0.9919999837875366,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9833999872207642,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9736999869346619,"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/image-denoising","display_name":"Image denoising","score":0.6049904823303223},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5867247581481934},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5608848333358765},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5185478329658508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5134478807449341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.482667475938797},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47356975078582764},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4289363920688629},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38744020462036133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3580033779144287},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.1212763786315918}],"concepts":[{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.6049904823303223},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5867247581481934},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5608848333358765},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5185478329658508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5134478807449341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.482667475938797},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47356975078582764},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4289363920688629},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38744020462036133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3580033779144287},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.1212763786315918},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3551427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3551427","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1860168827","display_name":null,"funder_award_id":"23550730300","funder_id":"https://openalex.org/F4320329358","funder_display_name":"Shanghai Baoshan Science and Technology Commission"},{"id":"https://openalex.org/G516358264","display_name":null,"funder_award_id":"52431012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6334314144","display_name":null,"funder_award_id":"24510712400","funder_id":"https://openalex.org/F4320329358","funder_display_name":"Shanghai Baoshan Science and Technology Commission"},{"id":"https://openalex.org/G8038642947","display_name":null,"funder_award_id":"62033009","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"},{"id":"https://openalex.org/F4320329358","display_name":"Shanghai Baoshan Science and Technology Commission","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2049004027","https://openalex.org/W2194775991","https://openalex.org/W2764207251","https://openalex.org/W2771305881","https://openalex.org/W2799192307","https://openalex.org/W2807793257","https://openalex.org/W2889050885","https://openalex.org/W2902519853","https://openalex.org/W2953231542","https://openalex.org/W2963725279","https://openalex.org/W2985577924","https://openalex.org/W3011743383","https://openalex.org/W3034902810","https://openalex.org/W3035304632","https://openalex.org/W3035383808","https://openalex.org/W3035542568","https://openalex.org/W3044607848","https://openalex.org/W3096008106","https://openalex.org/W3097262261","https://openalex.org/W3139232844","https://openalex.org/W3174864715","https://openalex.org/W3178192988","https://openalex.org/W3197217317","https://openalex.org/W4206124665","https://openalex.org/W4221005406","https://openalex.org/W4307715697","https://openalex.org/W4313134080","https://openalex.org/W4385245566","https://openalex.org/W4386076517","https://openalex.org/W4386902798","https://openalex.org/W4389104583","https://openalex.org/W4389104760","https://openalex.org/W4389665402","https://openalex.org/W4394744113","https://openalex.org/W4396734551","https://openalex.org/W4401687249","https://openalex.org/W6749271710","https://openalex.org/W6749609952","https://openalex.org/W6749894445","https://openalex.org/W6756542712","https://openalex.org/W6759001153","https://openalex.org/W6762734363","https://openalex.org/W6793254651","https://openalex.org/W6800374665","https://openalex.org/W6809928669"],"related_works":["https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W4407169614","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W4406054402","https://openalex.org/W4312627788","https://openalex.org/W2353444452"],"abstract_inverted_index":{"Existing":[0],"single-image":[1,39,123],"denoising":[2,40,51,124],"methods":[3],"suffer":[4],"from":[5],"several":[6],"issues,":[7],"including":[8],"reliance":[9],"on":[10],"noise":[11,44,70,106,115],"distribution":[12,45,107],"models,":[13],"inefficient":[14],"network":[15,79],"training,":[16],"and":[17,117,134],"the":[18,98,104],"loss":[19],"of":[20],"useful":[21],"information":[22],"during":[23],"denoising,":[24],"which":[25,102],"decrease":[26],"image":[27,50,66,87],"quality.":[28],"In":[29,111,126],"this":[30],"article,":[31],"we":[32,58,73,91],"propose":[33],"dual-sampling":[34],"Noise2Noise":[35],"(DS-N2N),":[36],"a":[37,53,60,75,93,130],"zero-shot":[38],"approach":[41],"requiring":[42],"no":[43],"models.":[46],"It":[47],"accomplishes":[48],"superior":[49],"at":[52],"reduced":[54],"computational":[55,132,141],"expense.":[56],"Initially,":[57],"introduce":[59,92],"symmetric":[61],"sampler":[62,95],"to":[63,88,96,108],"produce":[64],"training":[65],"pairs":[67],"with":[68,80,139],"adjacent":[69],"distributions.":[71],"Next,":[72],"train":[74,97],"lightweight":[76],"DsNet":[77],"residual":[78],"regularization":[81],"properties":[82],"that":[83],"maps":[84],"one":[85],"subsampled":[86],"another.":[89],"Finally,":[90],"dual":[94],"original":[99,105],"scale":[100],"network,":[101],"preserves":[103],"some":[109],"extent.":[110],"experiments":[112],"involving":[113],"synthetic":[114],"distributions":[116],"real-world":[118],"noise,":[119],"DS-N2N":[120],"outperforms":[121],"existing":[122],"methods.":[125],"addition,":[127],"it":[128],"has":[129],"low":[131],"cost":[133],"is":[135],"suitable":[136],"for":[137,146],"applications":[138],"limited":[140],"resources.":[142],"For":[143],"implementation-specific":[144],"code":[145],"our":[147],"approach,":[148],"see":[149],"<uri":[150],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[151],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/StarTeardrop/DS-N2N</uri>.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}