{"id":"https://openalex.org/W7091666243","doi":"https://doi.org/10.1109/access.2025.3621837","title":"Robust Self-Supervised Real-Image Denoising via Consensual Contrastive Regularization as Preserving Force","display_name":"Robust Self-Supervised Real-Image Denoising via Consensual Contrastive Regularization as Preserving Force","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7091666243","doi":"https://doi.org/10.1109/access.2025.3621837"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3621837","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3621837","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3621837","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kaiqi Yang","orcid":"https://orcid.org/0009-0005-3533-462X"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiqi Yang","raw_affiliation_strings":["Department of Computer Science, Guangxi University of Science and Technology, Liuzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-3533-462X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Guangxi University of Science and Technology, Liuzhou, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhiwen Wang","orcid":"https://orcid.org/0000-0003-2309-7282"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Wang","raw_affiliation_strings":["Department of Electronics Engineering, Guangxi University of Science and Technology, Liuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2309-7282","affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Guangxi University of Science and Technology, Liuzhou, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiayi Fu","orcid":"https://orcid.org/0009-0003-2949-7241"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Fu","raw_affiliation_strings":["Department of Statistics, Guangxi University of Science and Technology, Liuzhou, China"],"raw_orcid":"https://orcid.org/0009-0003-2949-7241","affiliations":[{"raw_affiliation_string":"Department of Statistics, Guangxi University of Science and Technology, Liuzhou, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rongyi Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongyi Ouyang","raw_affiliation_strings":["Department of Automation, Guangxi University of Science and Technology, Liuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Guangxi University of Science and Technology, Liuzhou, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"last","author":{"id":null,"display_name":"Na Li","orcid":null},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Li","raw_affiliation_strings":["Department of Automation, Guangxi University of Science and Technology, Liuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Guangxi University of Science and Technology, Liuzhou, China","institution_ids":["https://openalex.org/I18570673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I18570673"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47527194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"182149","last_page":"182164"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.36090001463890076,"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":0.36090001463890076,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.195700004696846,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.16750000417232513,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/upsampling","display_name":"Upsampling","score":0.8615000247955322},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6952000260353088},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6256999969482422},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4512999951839447},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43619999289512634},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4226999878883362},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.40849998593330383},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.3952000141143799}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8615000247955322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7174999713897705},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6952000260353088},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6256999969482422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5662000179290771},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4512999951839447},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43619999289512634},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4226999878883362},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.40849998593330383},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.3952000141143799},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3564000129699707},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.30809998512268066},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.3003999888896942},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2935999929904938},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.25619998574256897},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3621837","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3621837","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1a59909e595748cc9262e8a0f6abe4ca","is_oa":true,"landing_page_url":"https://doaj.org/article/1a59909e595748cc9262e8a0f6abe4ca","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 182149-182164 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3621837","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3621837","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3492472565","display_name":"\u57fa\u4e8e\u591a\u89c6\u89d2\u534f\u540c\u6df1\u5ea6\u5b66\u4e60\u53ca\u52a8\u6001\u90e8\u4f4d\u5efa\u6a21\u7684\u5bc6\u96c6\u533a\u57df\u884c\u4eba\u68c0\u6d4b\u7814\u7a76","funder_award_id":"61962007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4517712221","display_name":null,"funder_award_id":"62466004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5065511314","display_name":null,"funder_award_id":"2018GXNSFDA294001","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8427232903","display_name":null,"funder_award_id":"62266009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Different":[0],"processing":[1],"pipelines":[2],"and":[3,151,162],"camera":[4],"settings":[5],"exist,":[6],"resulting":[7],"in":[8,26,85,118],"unique":[9],"characteristics":[10,53],"of":[11,89,159,164],"real-world":[12],"noises.":[13],"However,":[14],"out-of-distribution":[15,57,69,138],"performance":[16,139],"is":[17,30,116],"essential,":[18],"as":[19,24,96,122],"using":[20],"the":[21,27,119,127,131,146,180],"same":[22],"cameras":[23],"those":[25],"training":[28],"dataset":[29],"uncommon.":[31],"Despite":[32],"a":[33,64,97,109,123,174],"few":[34],"methods":[35],"having":[36],"been":[37],"proposed":[38],"to":[39,70,100],"mitigate":[40],"this":[41,60],"problem,":[42],"they":[43],"all":[44,167],"overlook":[45],"self-supervised":[46,65],"real-image":[47,73],"denoising":[48],"methods,":[49],"which":[50,86],"possess":[51],"two":[52],"particularly":[54],"beneficial":[55],"for":[56,126],"generalization.":[58],"In":[59,75],"paper,":[61],"we":[62,78],"build":[63],"denoiser":[66,135,178],"that":[67],"prioritizes":[68],"achieve":[71],"robust":[72],"denoising.":[74],"our":[76,134,177],"denoiser,":[77],"use":[79],"pixel-shuffle":[80,93],"downsampling":[81,94],"factor-based":[82],"teacher":[83],"distillation,":[84],"denoised":[87],"outputs":[88],"noisy":[90],"images":[91],"without":[92],"serves":[95],"pushing":[98],"force":[99,125],"deviate":[101],"away":[102],"from":[103],"pre-trained":[104],"noise":[105],"distribution":[106],"learned":[107],"by":[108],"student":[110],"network.":[111],"Additionally,":[112],"consensual":[113],"contrastive":[114],"regularization":[115],"introduced":[117],"representation":[120],"space":[121],"preserving":[124],"distribution.":[128],"Trained":[129],"on":[130],"SIDD":[132],"dataset,":[133],"achieves":[136,155],"state-of-the-art":[137],"when":[140,171],"evaluated":[141],"across":[142],"multiple":[143],"datasets:":[144],"including":[145],"PolyU,":[147],"CC,":[148],"HighISO,":[149],"Huawei,":[150],"iPhone":[152],"datasets.":[153],"It":[154],"an":[156],"average":[157,182],"PSNR":[158,183],"38.77":[160],"dB":[161],"SSIM":[163],"0.9609,":[165],"outperforming":[166],"existing":[168],"methods.":[169],"Furthermore,":[170],"combined":[172],"with":[173],"fine-tuning":[175],"method,":[176],"maintains":[179],"best":[181],"after":[184],"5,":[185],"10,":[186],"or":[187],"20":[188],"iterations":[189],"under":[190],"consistent":[191],"conditions.":[192]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-16T00:00:00"}
