{"id":"https://openalex.org/W4405255243","doi":"https://doi.org/10.1109/tip.2024.3515873","title":"Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring","display_name":"Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring","publication_year":2024,"publication_date":"2024-12-20","ids":{"openalex":"https://openalex.org/W4405255243","doi":"https://doi.org/10.1109/tip.2024.3515873","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030666"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3515873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3515873","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.07256","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071193469","display_name":"Yuzhi Zhao","orcid":"https://orcid.org/0000-0001-8561-2206"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuzhi Zhao","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-8561-2206","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038133707","display_name":"Lai-Man Po","orcid":"https://orcid.org/0000-0002-5185-1492"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lai-Man Po","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-5185-1492","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348108","display_name":"Xin Ye","orcid":"https://orcid.org/0000-0002-4795-1685"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Ye","raw_affiliation_strings":["SenseTime Research, Hong Kong, china"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Research, Hong Kong, china","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100302456","display_name":"Yongzhe Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongzhe Xu","raw_affiliation_strings":["SenseTime Research, Hong Kong, china"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Research, Hong Kong, china","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101842275","display_name":"Qiong Yan","orcid":"https://orcid.org/0009-0003-2942-267X"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Yan","raw_affiliation_strings":["SenseTime Research, Hong Kong, china"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Research, Hong Kong, china","institution_ids":["https://openalex.org/I4210128910"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4872,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62097472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"34","issue":null,"first_page":"350","last_page":"364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9959999918937683,"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/deblurring","display_name":"Deblurring","score":0.9286412596702576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8006396293640137},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.7697943449020386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7286587357521057},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6519930362701416},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6305385231971741},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6043738126754761},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5891970992088318},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4784434139728546},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3888673186302185},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28653234243392944}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9286412596702576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8006396293640137},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.7697943449020386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7286587357521057},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6519930362701416},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6305385231971741},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6043738126754761},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5891970992088318},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4784434139728546},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3888673186302185},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28653234243392944}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2024.3515873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3515873","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:40030666","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030666","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2412.07256","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.07256","pdf_url":"https://arxiv.org/pdf/2412.07256","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2412.07256","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.07256","pdf_url":"https://arxiv.org/pdf/2412.07256","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1906770428","https://openalex.org/W1916935112","https://openalex.org/W1987075379","https://openalex.org/W2032506791","https://openalex.org/W2043529138","https://openalex.org/W2047123483","https://openalex.org/W2056370875","https://openalex.org/W2082136663","https://openalex.org/W2097073572","https://openalex.org/W2098535678","https://openalex.org/W2099770336","https://openalex.org/W2103559027","https://openalex.org/W2113131123","https://openalex.org/W2133665775","https://openalex.org/W2146602792","https://openalex.org/W2149925139","https://openalex.org/W2150134853","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2170608748","https://openalex.org/W2194775991","https://openalex.org/W2476548250","https://openalex.org/W2508457857","https://openalex.org/W2536599074","https://openalex.org/W2556872594","https://openalex.org/W2560533888","https://openalex.org/W2564023417","https://openalex.org/W2601564443","https://openalex.org/W2613155248","https://openalex.org/W2661611317","https://openalex.org/W2752782242","https://openalex.org/W2764207251","https://openalex.org/W2798735168","https://openalex.org/W2799265886","https://openalex.org/W2895327470","https://openalex.org/W2952323569","https://openalex.org/W2963312584","https://openalex.org/W2963494934","https://openalex.org/W2963725279","https://openalex.org/W2963945023","https://openalex.org/W2964030969","https://openalex.org/W2964125708","https://openalex.org/W2965217508","https://openalex.org/W2982795046","https://openalex.org/W2985577924","https://openalex.org/W2989193306","https://openalex.org/W2999653953","https://openalex.org/W3034239311","https://openalex.org/W3034347085","https://openalex.org/W3034504121","https://openalex.org/W3034724715","https://openalex.org/W3035383808","https://openalex.org/W3035484352","https://openalex.org/W3035496815","https://openalex.org/W3035498546","https://openalex.org/W3106758205","https://openalex.org/W3107405705","https://openalex.org/W3110194847","https://openalex.org/W3112576346","https://openalex.org/W3132164685","https://openalex.org/W3136238150","https://openalex.org/W3140715649","https://openalex.org/W3170697543","https://openalex.org/W3176096490","https://openalex.org/W3176469911","https://openalex.org/W3177415989","https://openalex.org/W3179504215","https://openalex.org/W3182000414","https://openalex.org/W3202040256","https://openalex.org/W4206619685","https://openalex.org/W4214701710","https://openalex.org/W4312722082","https://openalex.org/W4386076169","https://openalex.org/W6631190155","https://openalex.org/W6681686951","https://openalex.org/W6726381175","https://openalex.org/W6767022471","https://openalex.org/W6782317439","https://openalex.org/W6783605461","https://openalex.org/W6791762923"],"related_works":["https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W4229459996","https://openalex.org/W2232201529","https://openalex.org/W2066613488","https://openalex.org/W2031788393","https://openalex.org/W2558246008","https://openalex.org/W4293737289","https://openalex.org/W4391468564","https://openalex.org/W4297097661"],"abstract_inverted_index":{"Image":[0],"degradation":[1],"caused":[2],"by":[3,73],"noise":[4,29,44,49],"and":[5,20,31,109,175,190,196,202],"blur":[6],"remains":[7],"a":[8,92,98,128,134,157],"persistent":[9],"challenge":[10],"in":[11,17],"imaging":[12],"systems,":[13],"stemming":[14],"from":[15,43,83,143],"limitations":[16],"both":[18,194],"hardware":[19],"methodology.":[21],"Single-image":[22],"solutions":[23,66],"face":[24],"an":[25],"inherent":[26],"tradeoff":[27,72],"between":[28],"reduction":[30],"motion":[32],"blur.":[33,52],"While":[34],"short":[35,108],"exposures":[36,47,111],"can":[37],"capture":[38],"clear":[39],"motion,":[40],"they":[41],"suffer":[42],"amplification.":[45],"Long":[46],"reduce":[48],"but":[50,78,117],"introduce":[51,133],"Learning-based":[53],"single-image":[54],"enhancers":[55],"tend":[56],"to":[57,61,139,146,164,179],"be":[58],"over-smooth":[59],"due":[60],"the":[62,113],"limited":[63],"information.":[64],"Multi-image":[65],"using":[67],"burst":[68],"mode":[69],"avoid":[70],"this":[71,121,151],"capturing":[74,105],"more":[75],"spatial-temporal":[76],"information":[77,126],"often":[79],"struggle":[80],"with":[81,118],"misalignment":[82],"camera/scene":[84],"motion.":[85],"To":[86],"address":[87],"these":[88],"limitations,":[89],"we":[90,155],"propose":[91],"physical-model-based":[93],"image":[94],"restoration":[95,181],"approach":[96],"leveraging":[97],"novel":[99],"dual-exposure":[100,152],"Quad-Bayer":[101,135],"pattern":[102],"sensor.":[103],"By":[104],"pairs":[106],"of":[107],"long":[110],"at":[112,207],"same":[114],"starting":[115],"point":[116],"varying":[119],"durations,":[120],"method":[122,137],"integrates":[123],"complementary":[124],"noise-blur":[125],"within":[127],"single":[129],"image.":[130],"We":[131],"further":[132],"synthesis":[136],"(B2QB)":[138],"simulate":[140],"sensor":[141,153],"data":[142],"Bayer":[144],"patterns":[145],"facilitate":[147],"training.":[148],"Based":[149],"on":[150,193],"model,":[154,201],"design":[156],"hierarchical":[158],"convolutional":[159],"neural":[160],"network":[161,170],"called":[162],"QRNet":[163],"recover":[165],"high-quality":[166],"RGB":[167],"images.":[168],"The":[169,199],"incorporates":[171],"input":[172],"enhancement":[173],"blocks":[174],"multi-level":[176],"feature":[177],"extraction":[178],"improve":[180],"quality.":[182],"Experiments":[183],"demonstrate":[184],"superior":[185],"performance":[186],"over":[187],"state-of-the-art":[188],"deblurring":[189],"denoising":[191],"methods":[192],"synthetic":[195],"real-world":[197],"datasets.":[198],"code,":[200],"datasets":[203],"are":[204],"publicly":[205],"available":[206],"https://github.com/zhaoyuzhi/QRNet.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
