{"id":"https://openalex.org/W2293588710","doi":"https://doi.org/10.1109/tip.2016.2521180","title":"Super-Resolution of Multi-Observed RGB-D Images Based on Nonlocal Regression and Total Variation","display_name":"Super-Resolution of Multi-Observed RGB-D Images Based on Nonlocal Regression and Total Variation","publication_year":2016,"publication_date":"2016-01-22","ids":{"openalex":"https://openalex.org/W2293588710","doi":"https://doi.org/10.1109/tip.2016.2521180","mag":"2293588710","pmid":"https://pubmed.ncbi.nlm.nih.gov/26812724"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2016.2521180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2521180","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":["crossref","pubmed"],"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/A5101486049","display_name":"Qingzheng Wang","orcid":"https://orcid.org/0000-0002-8732-1530"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingzheng Wang","raw_affiliation_strings":["State Key Laboratory of Virtual Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424132","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0003-4182-1588"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["State Key Laboratory of Virtual Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091408797","display_name":"Hong Qin","orcid":"https://orcid.org/0000-0001-7699-1355"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Qin","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035153076","display_name":"Aimin Hao","orcid":"https://orcid.org/0000-0002-5774-6706"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aimin Hao","raw_affiliation_strings":["State Key Laboratory of Virtual Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3203,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.92144381,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"25","issue":"3","first_page":"1425","last_page":"1440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9980000257492065,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9976999759674072,"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/rgb-color-model","display_name":"RGB color model","score":0.7137877345085144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.692206084728241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5455164909362793},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5289449691772461},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5135400295257568},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4793011248111725},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.47222900390625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40742090344429016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3700862228870392}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7137877345085144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.692206084728241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5455164909362793},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5289449691772461},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5135400295257568},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4793011248111725},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.47222900390625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40742090344429016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3700862228870392},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2016.2521180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2521180","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:26812724","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26812724","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1694221729","display_name":null,"funder_award_id":"IIS-0949467","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2292567362","display_name":null,"funder_award_id":"61190125","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2864847620","display_name":null,"funder_award_id":"61190121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2877319249","display_name":null,"funder_award_id":"61532002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5304081864","display_name":null,"funder_award_id":"IIS-1047715","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5964015034","display_name":null,"funder_award_id":"IIS-1049448","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7751068707","display_name":null,"funder_award_id":"61300067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7976711338","display_name":null,"funder_award_id":"61190120","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":52,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W105409094","https://openalex.org/W1526068416","https://openalex.org/W1558634791","https://openalex.org/W1561920876","https://openalex.org/W1791560514","https://openalex.org/W1949096787","https://openalex.org/W1982471090","https://openalex.org/W1994184495","https://openalex.org/W2020804472","https://openalex.org/W2027982384","https://openalex.org/W2030300879","https://openalex.org/W2046331708","https://openalex.org/W2047163846","https://openalex.org/W2081385919","https://openalex.org/W2087436818","https://openalex.org/W2088254198","https://openalex.org/W2090518410","https://openalex.org/W2092663520","https://openalex.org/W2098506229","https://openalex.org/W2099470017","https://openalex.org/W2104599718","https://openalex.org/W2104620097","https://openalex.org/W2110003257","https://openalex.org/W2111854888","https://openalex.org/W2117865218","https://openalex.org/W2118273112","https://openalex.org/W2121058967","https://openalex.org/W2125325064","https://openalex.org/W2127045774","https://openalex.org/W2131024476","https://openalex.org/W2135089338","https://openalex.org/W2140257560","https://openalex.org/W2141568386","https://openalex.org/W2145940484","https://openalex.org/W2148600052","https://openalex.org/W2150081556","https://openalex.org/W2152671441","https://openalex.org/W2153388956","https://openalex.org/W2163935418","https://openalex.org/W2165939075","https://openalex.org/W2170965888","https://openalex.org/W2333558327","https://openalex.org/W3104720471","https://openalex.org/W6602211262","https://openalex.org/W6604253096","https://openalex.org/W6631581617","https://openalex.org/W6638194035","https://openalex.org/W6662016379","https://openalex.org/W6676772183","https://openalex.org/W6683680428","https://openalex.org/W6702627919"],"related_works":["https://openalex.org/W4388311650","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W563589758","https://openalex.org/W5922282","https://openalex.org/W4289655544","https://openalex.org/W2044092692","https://openalex.org/W2547665164","https://openalex.org/W3103111272"],"abstract_inverted_index":{"There":[0],"is":[1,115,132],"growing":[2],"demand":[3],"for":[4,16,189],"accuracy":[5],"in":[6,45,72,164,216],"image":[7,91,96,112,142,163,176,179],"processing":[8],"and":[9,11,28,68,92,130,177,199,202,221,225],"visualization,":[10],"the":[12,88,93,98,110,124,156,160,174,185,211],"super-resolution":[13],"(SR)":[14],"technique":[15,40],"multi-observed":[17,99],"RGB-D":[18,101,197],"images":[19,102],"has":[20,41],"become":[21],"popular,":[22],"because":[23],"it":[24,131],"provides":[25],"space-redundant":[26,62],"information":[27],"produces":[29],"a":[30,35,81,136,150,165,181],"detailed":[31],"reconstruction":[32],"even":[33],"with":[34,57,206],"large":[36],"magnification":[37],"factor.":[38],"This":[39],"been":[42],"thoroughly":[43],"investigated":[44],"recent":[46],"years.":[47],"Nevertheless,":[48],"technical":[49],"challenges":[50],"remain,":[51],"such":[52],"as":[53,117,180],"finding":[54],"sub-pixel":[55],"correspondences":[56],"low-resolution":[58],"(LR)":[59],"observations,":[60],"exploiting":[61],"information,":[63],"formulating":[64],"space":[65],"homogeneity":[66],"constraints,":[67],"leveraging":[69],"cross-image":[70,108],"similarities":[71],"structures.":[73],"To":[74],"address":[75],"these":[76],"challenges,":[77],"this":[78],"paper":[79],"proposes":[80],"unified":[82,170],"optimization":[83,171],"framework":[84,172],"to":[85],"estimate":[86,144],"both":[87],"super-resolved":[89,94,161],"RGB":[90,111,162,175],"depth":[95,141,178],"from":[97],"LR":[100],"using":[103],"their":[104],"correlations.":[105],"Using":[106],"depth-assisted":[107],"correspondences,":[109],"SR":[113,143,186],"problem":[114],"formulated":[116],"an":[118],"effective":[119],"regularization":[120],"function":[121],"by":[122,135,148],"incorporating":[123],"normalized":[125],"bilateral":[126],"total":[127],"variation":[128],"regularizer,":[129],"efficiently":[133],"solved":[134],"first-order":[137],"primal-dual":[138],"algorithm.":[139],"The":[140],"can":[145],"be":[146],"obtained":[147],"minimizing":[149],"nonlocal":[151],"regression-based":[152],"energy,":[153],"which":[154],"integrates":[155],"structural":[157],"cues":[158],"of":[159,213,218,223],"detail-preserving":[166],"fashion.":[167],"Essentially,":[168],"our":[169,203,214],"uses":[173,188],"priori":[182],"knowledge":[183],"that":[184],"process":[187],"better":[190],"accuracy.":[191],"Our":[192],"extensive":[193],"experiments":[194],"on":[195],"public":[196],"benchmarks":[198],"real":[200],"data":[201],"quantitative":[204],"comparison":[205],"several":[207],"state-of-the-art":[208],"methods":[209],"demonstrate":[210],"superiority":[212],"method":[215],"terms":[217],"accuracy,":[219],"versatility,":[220],"reliability":[222],"details":[224],"sharp":[226],"feature":[227],"preservation.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}