{"id":"https://openalex.org/W3194626828","doi":"https://doi.org/10.1109/icip42928.2021.9506120","title":"Depth Map Super-Resolution By Multi-Direction Dictionary And Joint Regularization","display_name":"Depth Map Super-Resolution By Multi-Direction Dictionary And Joint Regularization","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3194626828","doi":"https://doi.org/10.1109/icip42928.2021.9506120","mag":"3194626828"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5083556808","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0002-1670-5174"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Xu","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694383","display_name":"Jin Wang","orcid":"https://orcid.org/0000-0001-5437-3150"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Wang","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013533432","display_name":"Longhua Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longhua Sun","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101944236","display_name":"Qing Zhu","orcid":"https://orcid.org/0000-0001-7785-6374"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Zhu","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083556808"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48660131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1839","last_page":"1843"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998000264167786,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983999729156494,"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/regularization","display_name":"Regularization (linguistics)","score":0.7083719968795776},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6701804399490356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6651633381843567},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5073551535606384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47543004155158997},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.46963879466056824},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46608966588974},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.41495558619499207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3534495532512665},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3493870496749878},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3086107075214386},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08347240090370178}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7083719968795776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6701804399490356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6651633381843567},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5073551535606384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47543004155158997},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.46963879466056824},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46608966588974},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.41495558619499207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3534495532512665},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3493870496749878},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3086107075214386},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08347240090370178}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5299999713897705,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321572","display_name":"Beijing Municipal Commission of Education","ror":"https://ror.org/04bpn6s66"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W935139217","https://openalex.org/W1491073809","https://openalex.org/W1513100184","https://openalex.org/W1530315507","https://openalex.org/W1885185971","https://openalex.org/W1964370383","https://openalex.org/W1994184495","https://openalex.org/W2024738905","https://openalex.org/W2046612516","https://openalex.org/W2054181906","https://openalex.org/W2093621384","https://openalex.org/W2099244020","https://openalex.org/W2109945199","https://openalex.org/W2125188192","https://openalex.org/W2131024476","https://openalex.org/W2153388956","https://openalex.org/W2159203540","https://openalex.org/W2162741539","https://openalex.org/W2521490062","https://openalex.org/W2792334636","https://openalex.org/W2979326614","https://openalex.org/W4241716071","https://openalex.org/W6624640001","https://openalex.org/W6629222711","https://openalex.org/W6664102364","https://openalex.org/W6676600194"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2807251790","https://openalex.org/W2012019886","https://openalex.org/W2166090428","https://openalex.org/W2381021552","https://openalex.org/W2799406489","https://openalex.org/W2354749003","https://openalex.org/W2377121353","https://openalex.org/W2350529538"],"abstract_inverted_index":{"Depth":[0],"maps":[1],"acquired":[2],"by":[3,110],"3D":[4,27],"cameras":[5],"usually":[6],"suffer":[7],"from":[8],"low":[9],"resolution":[10],"and":[11,26,39,64,147],"insufficient":[12],"quality,":[13],"which":[14],"makes":[15],"it":[16],"difficult":[17],"to":[18,59,77,88,123,127],"be":[19,78,85],"directly":[20],"used":[21],"in":[22,141],"visual":[23],"depth":[24,46],"perception":[25],"reconstruction.":[28],"To":[29,48],"handle":[30],"this":[31],"problem,":[32],"we":[33],"propose":[34],"a":[35,65,75],"novel":[36],"multi-direction":[37],"dictionary":[38,67,83],"joint":[40],"regularization":[41,96],"model":[42],"for":[43,74],"high":[44],"quality":[45,146],"recovery.":[47],"enhance":[49],"the":[50,60,80,99,104,111,120,128],"sparsity,":[51],"image":[52],"is":[53,68,103,119],"divided":[54],"into":[55,98],"classified":[56],"patches":[57],"according":[58,87],"same":[61],"geometrical":[62,90],"direction":[63],"compact":[66],"trained":[69],"within":[70],"each":[71],"class.":[72],"Then":[73],"patch":[76],"coded,":[79],"most":[81],"relevant":[82],"can":[84],"selected":[86],"its":[89],"direction.":[91],"We":[92],"further":[93],"introduce":[94],"two":[95],"terms":[97,142],"reconstruction":[100],"model.":[101],"One":[102],"anisotropic":[105],"total":[106],"variation":[107],"(TV)":[108],"defined":[109],"local":[112,129],"gradients":[113],"of":[114,143],"color/depth":[115],"pair.":[116],"The":[117],"other":[118,138],"nonlocal":[121,125],"similarity":[122],"provide":[124],"constraint":[126],"structure.":[130],"Experimental":[131],"results":[132],"demonstrate":[133],"that":[134],"our":[135],"method":[136],"outperforms":[137],"state-of-the-art":[139],"methods":[140],"both":[144],"subjective":[145],"objective":[148],"quality.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}