{"id":"https://openalex.org/W3119958533","doi":"https://doi.org/10.1145/3444370.3444539","title":"A super-resolution method of combined color image with depth map based on deep learning","display_name":"A super-resolution method of combined color image with depth map based on deep learning","publication_year":2020,"publication_date":"2020-12-04","ids":{"openalex":"https://openalex.org/W3119958533","doi":"https://doi.org/10.1145/3444370.3444539","mag":"3119958533"},"language":"en","primary_location":{"id":"doi:10.1145/3444370.3444539","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3444370.3444539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Cyberspace Innovation of Advanced Technologies","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/A5100441570","display_name":"W\u011bi Zh\u0101ng","orcid":"https://orcid.org/0000-0002-1533-6979"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chi-fu Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi-fu Yang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054864573","display_name":"Feng Jiang","orcid":"https://orcid.org/0000-0001-8342-1211"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Jiang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090329596","display_name":"Xianzhong Gao","orcid":"https://orcid.org/0000-0002-2020-9202"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-zhong Gao","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080002208","display_name":"Kai Yang","orcid":"https://orcid.org/0000-0001-9007-6030"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kai Yang","raw_affiliation_strings":["Army Aviation Academy, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Aviation Academy, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16450439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9846000075340271,"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":0.98089998960495,"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/upsampling","display_name":"Upsampling","score":0.8883578777313232},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.8172787427902222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7792661190032959},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6719746589660645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6040289998054504},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.539441704750061},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.473473459482193},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45839983224868774},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4254215359687805},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4165993928909302},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.41139811277389526},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.37257009744644165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2935361862182617}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8883578777313232},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.8172787427902222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7792661190032959},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6719746589660645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6040289998054504},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.539441704750061},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.473473459482193},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45839983224868774},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4254215359687805},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4165993928909302},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.41139811277389526},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.37257009744644165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2935361862182617},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3444370.3444539","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3444370.3444539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Cyberspace Innovation of Advanced Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1872406745","https://openalex.org/W1956571368","https://openalex.org/W1981705310","https://openalex.org/W2030300879","https://openalex.org/W2214189948","https://openalex.org/W2291533986","https://openalex.org/W2808681425","https://openalex.org/W2907369926","https://openalex.org/W2934826843","https://openalex.org/W2963273426","https://openalex.org/W2971076825","https://openalex.org/W2976882027","https://openalex.org/W3098140381","https://openalex.org/W6641256678"],"related_works":["https://openalex.org/W2795471480","https://openalex.org/W2520322935","https://openalex.org/W3005941135","https://openalex.org/W2086087387","https://openalex.org/W2104324080","https://openalex.org/W2027589961","https://openalex.org/W2155505427","https://openalex.org/W2140069086","https://openalex.org/W2171321620","https://openalex.org/W2537394792"],"abstract_inverted_index":{"The":[0,114,162,173],"task":[1],"of":[2,11,16,26,43,79,87,139,152,165,175],"a":[3,32,64,72,123,169],"qualitative":[4],"increase":[5],"in":[6],"image":[7,18,35,57,86,129,147],"resolution":[8],"is":[9,93,102,120,168],"one":[10],"the":[12,24,44,77,88,96,137,140,153,166],"most":[13],"current":[14],"issues":[15],"digital":[17],"processing.":[19],"Super-resolution":[20],"(SR)":[21],"methods":[22,177],"are":[23,156],"group":[25],"signal-processing":[27],"algorithms,":[28],"which":[29],"allow":[30],"producing":[31],"high-resolution":[33,65,170],"(HR)":[34],"from":[36,71],"single":[37],"or":[38,83],"multiple":[39],"low-resolution":[40,149],"(LR)":[41],"images":[42],"same":[45,89,154],"scene.":[46,90],"Convolutional":[47],"neural":[48],"network":[49,118],"(CNN)":[50],"has":[51],"been":[52],"widely":[53],"applied":[54],"to":[55],"color":[56,85],"and":[58,109,148],"depth":[59,66,74,100,107,143,150,171],"map":[60,67,75,101,108,151],"super-resolution":[61,130],"problem,":[62],"where":[63],"can":[68,134],"be":[69],"restored":[70],"LR":[73,84,106,111],"with":[76,122],"guidance":[78],"an":[80],"additional":[81],"HR":[82,99,142],"Proposed":[91],"method":[92],"based":[94],"on":[95],"algorithm,":[97],"that":[98],"reconstructed":[103],"by":[104,180],"joint":[105],"corresponding":[110],"intensity":[112,146],"image.":[113],"Joint":[115],"double":[116],"branch":[117],"(JDBNet)":[119],"formed":[121],"multi-scale":[124],"upsampling":[125],"conception":[126],"for":[127,159],"solving":[128],"problems.":[131],"Such":[132],"approach":[133],"considerably":[135],"enhance":[136],"condition":[138],"recovered":[141],"images.":[144],"Low-resolution":[145],"scene":[155],"input":[157],"data":[158,164],"training":[160],"networks.":[161],"output":[163],"system":[167],"map.":[172],"performance":[174],"represented":[176],"was":[178],"evaluated":[179],"Root":[181],"Mean":[182],"Square":[183],"Error":[184],"(RMSE).":[185]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}