{"id":"https://openalex.org/W2037983762","doi":"https://doi.org/10.1142/s0219467804001531","title":"DIRECTIONAL COHERENCE INTERPOLATION FOR THREE-DIMENSIONAL GRAY-LEVEL IMAGES","display_name":"DIRECTIONAL COHERENCE INTERPOLATION FOR THREE-DIMENSIONAL GRAY-LEVEL IMAGES","publication_year":2004,"publication_date":"2004-09-06","ids":{"openalex":"https://openalex.org/W2037983762","doi":"https://doi.org/10.1142/s0219467804001531","mag":"2037983762"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467804001531","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467804001531","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"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 Image and Graphics","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/A5031902227","display_name":"Yongmei Michelle Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"YONGMEI MICHELLE WANG","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Departments of Statistics, Psychology, and Bioengineering, Champaign, IL 61820, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Departments of Statistics, Psychology, and Bioengineering, Champaign, IL 61820, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101766174","display_name":"Jingdan Zhang","orcid":"https://orcid.org/0009-0006-1038-7589"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JINGDAN ZHANG","raw_affiliation_strings":["Computer Science and Technology, Tsinghua University, Beijing 100084, P. R. China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Technology, Tsinghua University, Beijing 100084, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005882014","display_name":"Zhunping Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZHUNPING ZHANG","raw_affiliation_strings":["Computer Science and Technology, Tsinghua University, Beijing 100084, P. R. China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Technology, Tsinghua University, Beijing 100084, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101666011","display_name":"Baining Guo","orcid":"https://orcid.org/0000-0001-8349-8868"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"BAINING GUO","raw_affiliation_strings":["Microsoft Research Asia, 5F Sigma Center, Beijing 100080, P. R. China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, 5F Sigma Center, Beijing 100080, P. R. China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031902227"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.1313736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"04","issue":"04","first_page":"535","last_page":"561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9991000294685364,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/rendering","display_name":"Rendering (computer graphics)","score":0.6400505304336548},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.630902111530304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5957911610603333},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.5690555572509766},{"id":"https://openalex.org/keywords/trilinear-interpolation","display_name":"Trilinear interpolation","score":0.544390082359314},{"id":"https://openalex.org/keywords/nearest-neighbor-interpolation","display_name":"Nearest-neighbor interpolation","score":0.5389135479927063},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5292679071426392},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5095050930976868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49737122654914856},{"id":"https://openalex.org/keywords/stairstep-interpolation","display_name":"Stairstep interpolation","score":0.4911288917064667},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.4429962635040283},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4117096960544586},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39794254302978516},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.383699506521225},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38349971175193787},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.3686656057834625},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27470827102661133},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24597913026809692}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6400505304336548},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.630902111530304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5957911610603333},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.5690555572509766},{"id":"https://openalex.org/C188325010","wikidata":"https://www.wikidata.org/wiki/Q861176","display_name":"Trilinear interpolation","level":4,"score":0.544390082359314},{"id":"https://openalex.org/C207214200","wikidata":"https://www.wikidata.org/wiki/Q4202129","display_name":"Nearest-neighbor interpolation","level":4,"score":0.5389135479927063},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5292679071426392},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5095050930976868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49737122654914856},{"id":"https://openalex.org/C119768884","wikidata":"https://www.wikidata.org/wiki/Q7597108","display_name":"Stairstep interpolation","level":4,"score":0.4911288917064667},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.4429962635040283},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4117096960544586},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39794254302978516},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.383699506521225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38349971175193787},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.3686656057834625},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27470827102661133},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24597913026809692},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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:10.1142/s0219467804001531","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467804001531","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"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 Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309292","display_name":"Princeton University","ror":"https://ror.org/00hx57361"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1575793445","https://openalex.org/W1595049743","https://openalex.org/W1965149251","https://openalex.org/W1981670016","https://openalex.org/W2004217976","https://openalex.org/W2012219217","https://openalex.org/W2016055604","https://openalex.org/W2068367031","https://openalex.org/W2075077984","https://openalex.org/W2078790577","https://openalex.org/W2090321726","https://openalex.org/W2104095591","https://openalex.org/W2107002723","https://openalex.org/W2107717084","https://openalex.org/W2113524221","https://openalex.org/W2119231080","https://openalex.org/W2125969210","https://openalex.org/W2130538955","https://openalex.org/W2132984323","https://openalex.org/W2136211010","https://openalex.org/W2141104431","https://openalex.org/W2144509081","https://openalex.org/W2147646630","https://openalex.org/W2153709524","https://openalex.org/W2154536485","https://openalex.org/W2157886876","https://openalex.org/W2168031823","https://openalex.org/W2169895863","https://openalex.org/W2171191662","https://openalex.org/W2296243746","https://openalex.org/W4214540058"],"related_works":["https://openalex.org/W2352808182","https://openalex.org/W2351169239","https://openalex.org/W2036543038","https://openalex.org/W2071815454","https://openalex.org/W2265893536","https://openalex.org/W2162238560","https://openalex.org/W1956240806","https://openalex.org/W1836656571","https://openalex.org/W3152141443","https://openalex.org/W1606124777"],"abstract_inverted_index":{"A":[0],"novel":[1],"three-dimensional":[2],"gray-level":[3],"interpolation":[4,41,182],"method":[5],"called":[6],"the":[7,15,21,56,61,70,87,114,135,157,165,185],"Directional":[8],"Coherence":[9],"Interpolation":[10],"(DCI)":[11],"is":[12,24,47],"presented":[13],"in":[14,33,181],"paper.":[16],"The":[17,43,160],"principal":[18],"advantage":[19],"of":[20,45,50,117,138,141],"proposed":[22,158,166],"approach":[23],"that":[25,164],"it":[26],"leads":[27],"to":[28,83,95,123,155,170],"significantly":[29],"higher":[30],"visual":[31],"quality":[32],"3D":[34],"rendering":[35],"when":[36],"compared":[37,183],"with":[38,113,184],"traditional":[39],"image":[40,58,72,129],"methods.":[42],"basis":[44],"DCI":[46,54,126],"a":[48,77,97],"form":[49],"directional":[51],"image-space":[52],"coherence.":[53],"interpolates":[55],"missing":[57],"data":[59,118],"along":[60],"maximum":[62],"coherence":[63],"directions":[64],"(MCD),":[65],"which":[66],"are":[67,168],"estimated":[68],"from":[69],"local":[71],"intensity":[73],"yet":[74],"constrained":[75],"by":[76,111],"generic":[78],"smoothness":[79],"term.":[80],"In":[81],"order":[82],"further":[84],"improve":[85],"both":[86,149,177],"algorithm":[88],"efficiency":[89,180],"and":[90,119,131,151,179],"robustness,":[91],"we":[92],"also":[93],"propose":[94],"apply":[96],"pyramidal":[98],"search":[99],"strategy":[100],"for":[101],"MCD":[102],"estimation.":[103],"This":[104],"coarse-to-fine":[105],"scheme":[106],"requires":[107],"less":[108],"computation":[109],"time":[110],"starting":[112],"reduced":[115],"amount":[116],"propagating":[120],"searching":[121],"results":[122,162],"finer":[124],"resolutions.":[125],"can":[127],"incorporate":[128],"shape":[130],"structure":[132],"information":[133],"without":[134],"prior":[136],"requirement":[137],"explicit":[139],"representation":[140],"object":[142,173],"boundary/surface.":[143],"Extensive":[144],"experiments":[145],"were":[146],"performed":[147],"on":[148],"synthetic":[150],"real":[152],"medical":[153],"images":[154],"evaluate":[156],"approaches.":[159],"experimental":[161],"show":[163],"methods":[167],"able":[169],"handle":[171],"general":[172],"interpolation,":[174],"while":[175],"achieving":[176],"accuracy":[178],"existing":[186],"techniques.":[187]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}