{"id":"https://openalex.org/W4401074751","doi":"https://doi.org/10.3390/s24154890","title":"A Super-Resolution and 3D Reconstruction Method Based on OmDF Endoscopic Images","display_name":"A Super-Resolution and 3D Reconstruction Method Based on OmDF Endoscopic Images","publication_year":2024,"publication_date":"2024-07-27","ids":{"openalex":"https://openalex.org/W4401074751","doi":"https://doi.org/10.3390/s24154890","pmid":"https://pubmed.ncbi.nlm.nih.gov/39123937"},"language":"en","primary_location":{"id":"doi:10.3390/s24154890","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24154890","pdf_url":"https://www.mdpi.com/1424-8220/24/15/4890/pdf?version=1722503510","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/15/4890/pdf?version=1722503510","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100552583","display_name":"Fujia Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fujia Sun","raw_affiliation_strings":["School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113309361","display_name":"Wenxuan Song","orcid":null},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxuan Song","raw_affiliation_strings":["School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China","institution_ids":["https://openalex.org/I148128674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100552583"],"corresponding_institution_ids":["https://openalex.org/I148128674"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08653351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"15","first_page":"4890","last_page":"4890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9973000288009644,"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":0.994700014591217,"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/computer-vision","display_name":"Computer vision","score":0.7300476431846619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7174367904663086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7019140720367432},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6637327671051025},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5533141493797302},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5207328796386719},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.5105913281440735},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.44421157240867615},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.4288950562477112},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4242267906665802},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.13152018189430237},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1285855770111084},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09480297565460205}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7300476431846619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7174367904663086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7019140720367432},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6637327671051025},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5533141493797302},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5207328796386719},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.5105913281440735},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.44421157240867615},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.4288950562477112},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4242267906665802},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.13152018189430237},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1285855770111084},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09480297565460205},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24154890","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24154890","pdf_url":"https://www.mdpi.com/1424-8220/24/15/4890/pdf?version=1722503510","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39123937","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39123937","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11315055","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11315055","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11315055/pdf/sensors-24-04890.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:4874d4cb6be940178fedc6ccaccfdc22","is_oa":true,"landing_page_url":"https://doaj.org/article/4874d4cb6be940178fedc6ccaccfdc22","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 15, p 4890 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24154890","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24154890","pdf_url":"https://www.mdpi.com/1424-8220/24/15/4890/pdf?version=1722503510","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401074751.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1985806826","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2471962767","https://openalex.org/W2866634454","https://openalex.org/W2922435819","https://openalex.org/W2963372104","https://openalex.org/W2963645458","https://openalex.org/W3049603761","https://openalex.org/W3119285734","https://openalex.org/W3176625410","https://openalex.org/W3179159099","https://openalex.org/W3207918547","https://openalex.org/W4200391189","https://openalex.org/W4280491778","https://openalex.org/W4282599055","https://openalex.org/W4288751198","https://openalex.org/W4296053300","https://openalex.org/W4303982337","https://openalex.org/W4310557311","https://openalex.org/W4312335606","https://openalex.org/W4313023430","https://openalex.org/W4318483040","https://openalex.org/W4383495986","https://openalex.org/W4386075509","https://openalex.org/W4387211188","https://openalex.org/W4388831521","https://openalex.org/W4393279740"],"related_works":["https://openalex.org/W2922939509","https://openalex.org/W3130706162","https://openalex.org/W2368534456","https://openalex.org/W2980582925","https://openalex.org/W2811307883","https://openalex.org/W3199889907","https://openalex.org/W3089365509","https://openalex.org/W2281664702","https://openalex.org/W2946815544","https://openalex.org/W2922069956"],"abstract_inverted_index":{"In":[0],"the":[1,18,76,140],"field":[2],"of":[3,20,80,112,118,124,129,135],"endoscopic":[4,33],"imaging,":[5],"challenges":[6],"such":[7],"as":[8],"low":[9],"resolution,":[10],"complex":[11],"textures,":[12],"and":[13,36,43,67,78,90,115,126,132,154,165],"blurred":[14],"edges":[15],"often":[16],"degrade":[17],"quality":[19],"3D":[21,37,99,146],"reconstructed":[22],"models.":[23,100],"To":[24],"address":[25],"these":[26],"issues,":[27],"this":[28],"study":[29],"introduces":[30],"an":[31,50,55,116,133],"innovative":[32],"image":[34,107],"super-resolution":[35,81],"reconstruction":[38],"technique":[39],"named":[40],"Omni-Directional":[41],"Focus":[42,64],"Scale":[44,57],"Resolution":[45],"(OmDF-SR).":[46],"This":[47],"method":[48,141],"integrates":[49],"Omnidirectional":[51,56],"Self-Attention":[52],"(OSA)":[53],"mechanism,":[54],"Aggregation":[58],"Group":[59],"(OSAG),":[60],"a":[61,68,110,121,127],"Dual-stream":[62],"Adaptive":[63],"Mechanism":[65],"(DAFM),":[66],"Dynamic":[69],"Edge":[70],"Adjustment":[71],"Framework":[72],"(DEAF)":[73],"to":[74,95],"enhance":[75],"accuracy":[77],"efficiency":[79],"processing.":[82],"Additionally,":[83],"it":[84],"employs":[85],"Structure":[86],"from":[87],"Motion":[88],"(SfM)":[89],"Multi-View":[91],"Stereo":[92],"(MVS)":[93],"technologies":[94],"achieve":[96],"high-precision":[97],"medical":[98],"Experimental":[101],"results":[102],"indicate":[103],"significant":[104],"improvements":[105],"in":[106,143],"processing":[108],"with":[109],"PSNR":[111,128],"38.2902":[113],"dB":[114,131],"SSIM":[117,134],"0.9746":[119],"at":[120,137],"magnification":[122],"factor":[123],"\u00d72,":[125],"32.1723":[130],"0.9489":[136],"\u00d74.":[138],"Furthermore,":[139],"excels":[142],"reconstructing":[144],"detailed":[145],"models,":[147],"enhancing":[148],"point":[149],"cloud":[150],"density,":[151],"mesh":[152],"quality,":[153],"texture":[155],"mapping":[156],"richness,":[157],"thus":[158],"providing":[159],"substantial":[160],"support":[161],"for":[162],"clinical":[163],"diagnosis":[164],"surgical":[166],"planning.":[167]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
