{"id":"https://openalex.org/W2890077956","doi":"https://doi.org/10.1142/s0218001419540168","title":"The Improved Light Field Depth Image and 3D Reconstruction","display_name":"The Improved Light Field Depth Image and 3D Reconstruction","publication_year":2018,"publication_date":"2018-09-10","ids":{"openalex":"https://openalex.org/W2890077956","doi":"https://doi.org/10.1142/s0218001419540168","mag":"2890077956"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001419540168","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419540168","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5103268322","display_name":"Kui Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kui Fang","raw_affiliation_strings":["Information Science and Technology Institute, Hunan Agricultural University, Changsha, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-6764-5642","affiliations":[{"raw_affiliation_string":"Information Science and Technology Institute, Hunan Agricultural University, Changsha, P. R. China","institution_ids":["https://openalex.org/I52180223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108459503","display_name":"Xiao He","orcid":"https://orcid.org/0000-0002-3000-0795"},"institutions":[{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao He","raw_affiliation_strings":["Information Science and Technology Institute, Hunan Agricultural University, Changsha, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Technology Institute, Hunan Agricultural University, Changsha, P. R. China","institution_ids":["https://openalex.org/I52180223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070435123","display_name":"Hexiang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hexiang Yu","raw_affiliation_strings":["Information Science and Technology Institute, Hunan Agricultural University, Changsha, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Technology Institute, Hunan Agricultural University, Changsha, P. R. China","institution_ids":["https://openalex.org/I52180223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070435123"],"corresponding_institution_ids":["https://openalex.org/I52180223"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0928718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"05","first_page":"1954016","last_page":"1954016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement 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"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6088007688522339},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.592362642288208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5670262575149536},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.565051257610321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5645901560783386},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.550276517868042},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5308226943016052},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.5134945511817932},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.49648648500442505},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4926770329475403},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4700452387332916},{"id":"https://openalex.org/keywords/depth-of-field","display_name":"Depth of field","score":0.4690110385417938},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4475201964378357},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.4344819188117981},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4292186200618744},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.41617920994758606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3738747239112854},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2500990033149719},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13126444816589355}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6088007688522339},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.592362642288208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5670262575149536},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.565051257610321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5645901560783386},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.550276517868042},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5308226943016052},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.5134945511817932},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.49648648500442505},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4926770329475403},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4700452387332916},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.4690110385417938},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4475201964378357},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.4344819188117981},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4292186200618744},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.41617920994758606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3738747239112854},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2500990033149719},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13126444816589355},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001419540168","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419540168","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W238005424","https://openalex.org/W2007605181","https://openalex.org/W2008492784","https://openalex.org/W2109604868","https://openalex.org/W2326977759","https://openalex.org/W2332627980","https://openalex.org/W2345705579","https://openalex.org/W2397372588","https://openalex.org/W2520809084","https://openalex.org/W2566376500","https://openalex.org/W2570898866","https://openalex.org/W2596058005","https://openalex.org/W2964295918","https://openalex.org/W4233785866","https://openalex.org/W4399718739"],"related_works":["https://openalex.org/W2380577081","https://openalex.org/W2103710811","https://openalex.org/W1975898201","https://openalex.org/W2804670208","https://openalex.org/W1969928481","https://openalex.org/W2099581771","https://openalex.org/W3135307069","https://openalex.org/W2591851115","https://openalex.org/W4383560172","https://openalex.org/W3168372349"],"abstract_inverted_index":{"A":[0],"depth":[1,22,90],"map":[2,23],"and":[3,16,53,85,87,120,132],"a":[4,65],"full":[5],"focus":[6],"image":[7,14,18,97],"can":[8,147],"be":[9],"obtained":[10,24],"by":[11,25,39],"using":[12],"the":[13,17,29,40,57,73,83,89,110,118,122,129,136,142],"sequence":[15],"evaluation":[19,30],"function.":[20],"The":[21],"gradient":[26],"operator":[27],"as":[28],"function":[31],"has":[32],"good":[33,67],"resolution":[34],"but":[35],"is":[36,47,79,105],"also":[37],"affected":[38],"deviation":[41,84,134],"value.":[42],"This":[43,107],"kind":[44],"of":[45,75,113,124],"noise":[46,52],"different":[48],"from":[49],"common":[50],"salt-and-pepper":[51],"Gaussian":[54],"noise,":[55],"so":[56],"median":[58],"filter":[59,62],"or":[60],"mean":[61],"cannot":[63],"play":[64],"very":[66],"role.":[68],"In":[69,92],"order":[70],"to":[71,81,116,127],"improve":[72],"effect":[74],"3D":[76],"modeling,":[77],"it":[78,146],"necessary":[80],"eliminate":[82],"retain":[86],"highlight":[88],"information.":[91],"this":[93],"paper,":[94],"an":[95],"adaptive":[96],"enhancement":[98],"method":[99,108,123],"based":[100],"on":[101],"mode":[102,114],"cooperative":[103,125],"filtering":[104,126],"proposed.":[106],"uses":[109,121],"general":[111],"level":[112],"data":[115],"express":[117],"data,":[119],"form":[128],"centralized":[130],"balance":[131],"isolated":[133],"around":[135],"mode.":[137],"Compared":[138],"with":[139],"other":[140],"filters,":[141],"results":[143],"show":[144],"that":[145],"achieve":[148],"better":[149],"results.":[150]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
