{"id":"https://openalex.org/W4405717819","doi":"https://doi.org/10.1109/tmm.2024.3521833","title":"NIR-Assisted Image Denoising: A Selective Fusion Approach and a Real-World Benchmark Dataset","display_name":"NIR-Assisted Image Denoising: A Selective Fusion Approach and a Real-World Benchmark Dataset","publication_year":2024,"publication_date":"2024-12-23","ids":{"openalex":"https://openalex.org/W4405717819","doi":"https://doi.org/10.1109/tmm.2024.3521833"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3521833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521833","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5103613793","display_name":"Rengen Xu","orcid":"https://orcid.org/0000-0003-4656-9967"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongjian Xu","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-4656-9967","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013177603","display_name":"Zhilu Zhang","orcid":"https://orcid.org/0000-0002-5758-5949"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhilu Zhang","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-5758-5949","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109190268","display_name":"Renlong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renlong Wu","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636655","display_name":"Wangmeng Zuo","orcid":"https://orcid.org/0000-0002-3330-783X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangmeng Zuo","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-3330-783X","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.8175,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74517321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"2543","last_page":"2555"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9879999756813049,"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":0.9879999756813049,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9800000190734863,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9228000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7885773181915283},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6993316411972046},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6448277235031128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6438788175582886},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5260574817657471},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5042682886123657},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4476470351219177},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.4434288442134857},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3891923427581787},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37586620450019836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32479041814804077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7885773181915283},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6993316411972046},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6448277235031128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6438788175582886},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5260574817657471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5042682886123657},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4476470351219177},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.4434288442134857},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3891923427581787},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37586620450019836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32479041814804077},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3521833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521833","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5430980299","display_name":null,"funder_award_id":"U22B2035","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1489483414","https://openalex.org/W1677182931","https://openalex.org/W1901129140","https://openalex.org/W1992060453","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2097073572","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2508457857","https://openalex.org/W2764207251","https://openalex.org/W2798881637","https://openalex.org/W2866634454","https://openalex.org/W2938113818","https://openalex.org/W2962785568","https://openalex.org/W2963200935","https://openalex.org/W2963347245","https://openalex.org/W2963914989","https://openalex.org/W2997694100","https://openalex.org/W3014859219","https://openalex.org/W3034239311","https://openalex.org/W3034448817","https://openalex.org/W3038886336","https://openalex.org/W3081108418","https://openalex.org/W3095725446","https://openalex.org/W3121751387","https://openalex.org/W3138516171","https://openalex.org/W3161747711","https://openalex.org/W3170697543","https://openalex.org/W3171125843","https://openalex.org/W3175067501","https://openalex.org/W3207918547","https://openalex.org/W4225672218","https://openalex.org/W4225965251","https://openalex.org/W4283820755","https://openalex.org/W4312408681","https://openalex.org/W4312526798","https://openalex.org/W4312812783","https://openalex.org/W4312912750","https://openalex.org/W4312938066","https://openalex.org/W4317233448","https://openalex.org/W4376131215","https://openalex.org/W4385245566","https://openalex.org/W4386075598","https://openalex.org/W4386075601","https://openalex.org/W4386076504","https://openalex.org/W4390190996","https://openalex.org/W4393150006","https://openalex.org/W4402915917","https://openalex.org/W6631190155","https://openalex.org/W6737664043","https://openalex.org/W6757817989","https://openalex.org/W6780226713","https://openalex.org/W6847359996","https://openalex.org/W6850109541"],"related_works":["https://openalex.org/W2373946551","https://openalex.org/W2087258800","https://openalex.org/W2032636564","https://openalex.org/W2350275110","https://openalex.org/W2810018092","https://openalex.org/W2381578981","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585"],"abstract_inverted_index":{"Despite":[0],"the":[1,34,62,69,77,92,98,106,119,154],"significant":[2],"progress":[3],"in":[4,19],"image":[5,31,58],"denoising,":[6,59],"it":[7],"is":[8],"still":[9,47],"challenging":[10],"to":[11,27,36,61,96],"restore":[12],"fine-scale":[13],"details":[14],"while":[15],"removing":[16],"noise,":[17],"especially":[18],"extremely":[20],"low-light":[21],"environments.":[22],"Leveraging":[23],"near-infrared":[24],"(NIR)":[25],"images":[26,67],"assist":[28],"visible":[29],"RGB":[30,114],"denoising":[32,94],"shows":[33],"potential":[35],"address":[37],"this":[38],"issue,":[39],"becoming":[40],"a":[41,126],"promising":[42],"technology.":[43],"Nonetheless,":[44],"existing":[45],"works":[46],"struggle":[48],"with":[49],"taking":[50],"advantage":[51],"of":[52,71],"NIR":[53,112],"information":[54],"effectively":[55],"for":[56,111],"real-world":[57,72,150],"due":[60],"content":[63],"inconsistency":[64],"between":[65],"NIR-RGB":[66,100],"and":[68,108,113,116,148],"scarcity":[70],"paired":[73],"datasets.":[74],"To":[75],"alleviate":[76],"problem,":[78],"we":[79,103,124],"propose":[80],"an":[81],"efficient":[82],"Selective":[83],"Fusion":[84],"Module":[85],"(SFM),":[86],"which":[87,133],"can":[88],"be":[89],"plug-and-played":[90],"into":[91],"advanced":[93],"networks":[95],"merge":[97],"deep":[99],"features.":[101,122],"Specifically,":[102],"sequentially":[104],"perform":[105],"global":[107],"local":[109],"modulation":[110],"features,":[115],"then":[117],"integrate":[118],"two":[120],"modulated":[121],"Furthermore,":[123],"present":[125],"Real-world":[127],"NIR-Assisted":[128],"Image":[129],"Denoising":[130],"(Real-NAID)":[131],"dataset,":[132],"covers":[134],"diverse":[135],"scenarios":[136],"as":[137,139],"well":[138],"various":[140],"noise":[141],"levels.":[142],"Extensive":[143],"experiments":[144],"on":[145],"both":[146],"synthetic":[147],"our":[149],"datasets":[151],"demonstrate":[152],"that":[153],"proposed":[155],"method":[156],"achieves":[157],"better":[158],"results":[159],"than":[160],"state-of-the-art":[161],"ones.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}