{"id":"https://openalex.org/W3017315248","doi":"https://doi.org/10.1109/tmm.2020.2987706","title":"Frequency-Dependent Depth Map Enhancement via Iterative Depth-Guided Affine Transformation and Intensity-Guided Refinement","display_name":"Frequency-Dependent Depth Map Enhancement via Iterative Depth-Guided Affine Transformation and Intensity-Guided Refinement","publication_year":2020,"publication_date":"2020-04-16","ids":{"openalex":"https://openalex.org/W3017315248","doi":"https://doi.org/10.1109/tmm.2020.2987706","mag":"3017315248"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2020.2987706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2987706","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5018613505","display_name":"Yifan Zuo","orcid":"https://orcid.org/0000-0003-4980-7211"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifan Zuo","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063013411","display_name":"Yuming Fang","orcid":"https://orcid.org/0000-0002-6946-3586"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Fang","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060120489","display_name":"Ping An","orcid":"https://orcid.org/0000-0002-4995-728X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping An","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018198094","display_name":"Xiwu Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiwu Shang","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028469118","display_name":"Junnan Yang","orcid":"https://orcid.org/0000-0001-5738-2490"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Junnan Yang","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5018613505"],"corresponding_institution_ids":["https://openalex.org/I59649739"],"apc_list":null,"apc_paid":null,"fwci":1.7661,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.87059508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":null,"first_page":"772","last_page":"783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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/T11019","display_name":"Image Enhancement 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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.8065201044082642},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.7425522804260254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6986108422279358},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.665040135383606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5968724489212036},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5782911777496338},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.49244317412376404},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4895068407058716},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4761129319667816},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.46062034368515015},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44635096192359924},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44581133127212524},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44480544328689575},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38841548562049866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3721662163734436},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.32027900218963623},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.24211394786834717},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2308129072189331},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18481895327568054},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1250467598438263}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8065201044082642},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.7425522804260254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6986108422279358},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.665040135383606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5968724489212036},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5782911777496338},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.49244317412376404},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4895068407058716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4761129319667816},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.46062034368515015},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44635096192359924},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44581133127212524},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44480544328689575},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38841548562049866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3721662163734436},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32027900218963623},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.24211394786834717},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2308129072189331},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18481895327568054},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1250467598438263},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2020.2987706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2987706","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2848008120","display_name":null,"funder_award_id":"20181BBH80002","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G300724185","display_name":null,"funder_award_id":"61822109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3255470354","display_name":null,"funder_award_id":"61901197","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8140118750","display_name":null,"funder_award_id":"20192BAB217005","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1484539719","https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W1885185971","https://openalex.org/W1919542679","https://openalex.org/W1948643287","https://openalex.org/W1964370383","https://openalex.org/W1971918169","https://openalex.org/W1981705310","https://openalex.org/W1994184495","https://openalex.org/W2006569449","https://openalex.org/W2015207482","https://openalex.org/W2030300879","https://openalex.org/W2053812214","https://openalex.org/W2082253268","https://openalex.org/W2104599718","https://openalex.org/W2104600947","https://openalex.org/W2107884096","https://openalex.org/W2109945199","https://openalex.org/W2118273112","https://openalex.org/W2144041313","https://openalex.org/W2153388956","https://openalex.org/W2159133800","https://openalex.org/W2160956336","https://openalex.org/W2214189948","https://openalex.org/W2259424905","https://openalex.org/W2356493088","https://openalex.org/W2494890720","https://openalex.org/W2500602996","https://openalex.org/W2512875120","https://openalex.org/W2518792500","https://openalex.org/W2520322935","https://openalex.org/W2520953340","https://openalex.org/W2521490062","https://openalex.org/W2524856263","https://openalex.org/W2581673920","https://openalex.org/W2751237813","https://openalex.org/W2800443886","https://openalex.org/W2800540452","https://openalex.org/W2801129061","https://openalex.org/W2888469947","https://openalex.org/W2897501237","https://openalex.org/W2897799240","https://openalex.org/W2907226170","https://openalex.org/W2907260333","https://openalex.org/W2943070796","https://openalex.org/W2950290849","https://openalex.org/W2964121744","https://openalex.org/W2974576232","https://openalex.org/W2978368526","https://openalex.org/W2979326614","https://openalex.org/W3100388886","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6640763731","https://openalex.org/W6676600194","https://openalex.org/W6763739052","https://openalex.org/W6768802566"],"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":{"Recently,":[0],"deep":[1],"convolutional":[2],"neural":[3],"network":[4],"sho-ws":[5],"significant":[6],"improvement":[7],"for":[8,190],"intensity-guided":[9,104],"depth":[10,20,52,86,93,105,128,157,171],"map":[11,53],"enhancement.":[12],"The":[13,185],"most":[14],"networks":[15],"focus":[16],"on":[17,210],"either":[18],"increasing":[19],"or":[21],"easing":[22],"features":[23,94,100,106,129,158],"propagation":[24],"via":[25],"residual":[26,181],"learning":[27,182],"and":[28,54,102,193,213],"dense":[29,131],"connection.":[30],"However,":[31],"it":[32],"has":[33],"not":[34],"been":[35],"explicitly":[36],"considered":[37],"yet":[38],"to":[39,72,83,143,163],"mitigate":[40],"the":[41,45,48,51,55,75,85,89,97,103,123,126,145,148,156,170,173,180,191,206,211],"artifacts":[42],"caused":[43],"by":[44,134],"differences":[46],"of":[47,91,115,122,150,169],"distributions":[49],"between":[50],"corresponding":[56],"color":[57],"image,":[58],"e.g.,":[59],"edge":[60],"misalignment.":[61],"In":[62,141,165],"this":[63],"paper,":[64],"a":[65,135],"novel":[66],"depth-guided":[67,98],"affine":[68],"transformation":[69],"is":[70,80,95,188],"used":[71,82],"filter":[73],"out":[74],"unrelated":[76],"intensity":[77,99],"features,":[78,172],"which":[79,111,196],"further":[81],"refine":[84],"features.":[87],"Since":[88],"quality":[90],"initial":[92],"low,":[96],"filtering":[101],"refinement":[107,168],"are":[108,130,159,183],"iteratively":[109],"performed,":[110],"progressively":[112],"promotes":[113],"effects":[114],"such":[116],"tasks.":[117],"To":[118],"make":[119],"full":[120],"use":[121],"iterations,":[124],"all":[125],"refined":[127],"connected":[132],"followed":[133],"1":[136,138],"\u00d7":[137],"convolution":[139],"layer.":[140],"addition,":[142],"improve":[144],"performance":[146],"in":[147],"case":[149],"large":[151],"upsampling":[152],"factors":[153],"(e.g.,":[154],"16\u00d7),":[155],"enhanced":[160],"from":[161],"coarse":[162],"fine.":[164],"each":[166],"frequency-dependent":[167],"above":[174],"iterative":[175],"subnetwork":[176],"as":[177,179],"well":[178],"introduced.":[184],"proposed":[186],"method":[187],"tested":[189],"noise-free":[192],"noisy":[194],"cases":[195],"compares":[197],"against":[198],"16":[199],"state-of-the-art":[200],"methods.":[201],"Our":[202],"experimental":[203],"results":[204],"show":[205],"improved":[207],"performances":[208],"based":[209],"qualitative":[212],"quantitative":[214],"evaluations.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}