{"id":"https://openalex.org/W4400489090","doi":"https://doi.org/10.1109/tci.2024.3426360","title":"DTDeMo: A Deep Learning-Based Two-Stage Image Demosaicing Model With Interpolation and Enhancement","display_name":"DTDeMo: A Deep Learning-Based Two-Stage Image Demosaicing Model With Interpolation and Enhancement","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400489090","doi":"https://doi.org/10.1109/tci.2024.3426360"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2024.3426360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2024.3426360","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","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/A5080452157","display_name":"Jingchao Hou","orcid":"https://orcid.org/0000-0002-9690-8691"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingchao Hou","raw_affiliation_strings":["Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9690-8691","affiliations":[{"raw_affiliation_string":"Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018265021","display_name":"Garas Gendy","orcid":"https://orcid.org/0000-0001-6347-4826"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Garas Gendy","raw_affiliation_strings":["Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6347-4826","affiliations":[{"raw_affiliation_string":"Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guo Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150405","display_name":"Hongzhiwei Technology (China)","ror":"https://ror.org/04bapa014","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210150405"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Chen","raw_affiliation_strings":["Shanghai Huixi Technology Company Ltd., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Huixi Technology Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210150405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059438349","display_name":"Liangchao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangchao Wang","raw_affiliation_strings":["Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054897331","display_name":"Guanghui He","orcid":"https://orcid.org/0000-0002-0486-6421"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui He","raw_affiliation_strings":["Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0486-6421","affiliations":[{"raw_affiliation_string":"Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080452157"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.4343,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90134289,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"1026","last_page":"1039"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9965000152587891,"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/demosaicing","display_name":"Demosaicing","score":0.8326476812362671},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7390789985656738},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6911369562149048},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6541681885719299},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.5891119241714478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5525965094566345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5104398131370544},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.47308117151260376},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4623720645904541},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35182005167007446},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3395736813545227},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.2321375608444214},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07710754871368408}],"concepts":[{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.8326476812362671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7390789985656738},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6911369562149048},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6541681885719299},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.5891119241714478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5525965094566345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5104398131370544},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.47308117151260376},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4623720645904541},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35182005167007446},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3395736813545227},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.2321375608444214},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07710754871368408},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2024.3426360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2024.3426360","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5739802379","display_name":null,"funder_award_id":"62074097","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1857508347","https://openalex.org/W1892266664","https://openalex.org/W1901129140","https://openalex.org/W1912194039","https://openalex.org/W1923033533","https://openalex.org/W1969210895","https://openalex.org/W1971114016","https://openalex.org/W1980377468","https://openalex.org/W2008359728","https://openalex.org/W2011177704","https://openalex.org/W2022007237","https://openalex.org/W2028140315","https://openalex.org/W2035192779","https://openalex.org/W2053779250","https://openalex.org/W2064076387","https://openalex.org/W2069051299","https://openalex.org/W2082136663","https://openalex.org/W2086375115","https://openalex.org/W2108858258","https://openalex.org/W2110616340","https://openalex.org/W2114582993","https://openalex.org/W2119167889","https://openalex.org/W2119302101","https://openalex.org/W2127457591","https://openalex.org/W2131684546","https://openalex.org/W2132213784","https://openalex.org/W2151502878","https://openalex.org/W2152178471","https://openalex.org/W2153377815","https://openalex.org/W2164734076","https://openalex.org/W2168881191","https://openalex.org/W2194775991","https://openalex.org/W2294473561","https://openalex.org/W2556872594","https://openalex.org/W2562637781","https://openalex.org/W2604425999","https://openalex.org/W2773272881","https://openalex.org/W2787534441","https://openalex.org/W2787700404","https://openalex.org/W2792690686","https://openalex.org/W2807301514","https://openalex.org/W2810610794","https://openalex.org/W2890691497","https://openalex.org/W2891158090","https://openalex.org/W2891477968","https://openalex.org/W2902220826","https://openalex.org/W2906515941","https://openalex.org/W2921595853","https://openalex.org/W2952046917","https://openalex.org/W2962778775","https://openalex.org/W2963470893","https://openalex.org/W2963955761","https://openalex.org/W2990394688","https://openalex.org/W3008314086","https://openalex.org/W3009164273","https://openalex.org/W3034046811","https://openalex.org/W3112648603","https://openalex.org/W3127617232","https://openalex.org/W3138512092","https://openalex.org/W3167568784","https://openalex.org/W3174887108","https://openalex.org/W3176469911","https://openalex.org/W3193497103","https://openalex.org/W3207918547","https://openalex.org/W3215519494","https://openalex.org/W4214947578","https://openalex.org/W4220713611","https://openalex.org/W4224282573","https://openalex.org/W4225672218","https://openalex.org/W4285220742","https://openalex.org/W4288059210","https://openalex.org/W4308097264","https://openalex.org/W4312766126","https://openalex.org/W4360897438","https://openalex.org/W4389305847","https://openalex.org/W4390872244","https://openalex.org/W4390872974","https://openalex.org/W4396909911","https://openalex.org/W6631190155","https://openalex.org/W6682326022","https://openalex.org/W6748292292","https://openalex.org/W6748556992","https://openalex.org/W6762762692","https://openalex.org/W6797035986","https://openalex.org/W6839422179"],"related_works":["https://openalex.org/W4388820644","https://openalex.org/W2021077120","https://openalex.org/W2394941659","https://openalex.org/W1498671902","https://openalex.org/W3120854195","https://openalex.org/W33056850","https://openalex.org/W2465174208","https://openalex.org/W4254496396","https://openalex.org/W2088783111","https://openalex.org/W2030667839"],"abstract_inverted_index":{"Image":[0],"demosaicing":[1,15,27,69,92],"is":[2,146],"one":[3],"of":[4,119,126,135,164],"the":[5,22,31,41,54,61,67,83,102,115,130,138,143,165],"most":[6],"ubiquitous":[7],"and":[8,36,66,85,98,108,123,142,168],"performance-critical":[9],"image":[10,32],"processing":[11],"tasks.":[12],"However,":[13],"traditional":[14],"methods":[16,157],"use":[17,40],"fixed":[18],"weights":[19],"to":[20,59,73,128],"finish":[21],"interpolation,":[23],"while":[24],"deep":[25,68],"learning":[26],"restoration":[28],"always":[29],"breaks":[30],"array":[33],"arrangement":[34,64],"rule,":[35],"they":[37],"can't":[38],"fully":[39],"existing":[42,76],"pixel":[43,77],"information.":[44],"To":[45],"rectify":[46],"these":[47],"weaknesses,":[48],"in":[49],"this":[50],"paper,":[51],"we":[52,87],"propose":[53],"convolution":[55],"interpolation":[56,97,103,112,131,140],"block":[57,71,122],"(CIB)":[58],"obey":[60],"RAW":[62],"data":[63],"rule":[65],"residual":[70],"(DDRB)":[72],"repeatedly":[74],"utilize":[75],"information":[78],"for":[79],"demosaicing.":[80],"Based":[81],"on":[82],"CIB":[84],"DDRB,":[86],"present":[88],"a":[89,120,124],"novel":[90],"two-stage":[91],"model":[93],"(DTDeMo),":[94],"including":[95],"differential":[96],"enhancement":[99,116,144],"processes.":[100],"Specifically,":[101],"process":[104,117,145],"contains":[105],"several":[106,156],"CIBs":[107],"DDRBs":[109,127],"with":[110,155],"trainable":[111],"parameters.":[113],"Meanwhile,":[114],"consists":[118],"transformer-based":[121],"series":[125],"enhance":[129],"results.":[132],"The":[133],"effectiveness":[134],"CIBs,":[136],"DDRBs,":[137],"proposed":[139],"process,":[141],"confirmed":[147],"through":[148],"an":[149],"ablation":[150],"study.":[151],"A":[152],"thorough":[153],"comparison":[154],"shows":[158],"that":[159],"our":[160],"DTDeMo":[161],"outperforms":[162],"state":[163],"art":[166],"quantitatively":[167],"qualitatively.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8}],"updated_date":"2026-06-03T09:05:47.796612","created_date":"2025-10-10T00:00:00"}
