{"id":"https://openalex.org/W2919344340","doi":"https://doi.org/10.1109/tip.2019.2902830","title":"Pixel-Level Discrete Multiobjective Sampling for Image Matting","display_name":"Pixel-Level Discrete Multiobjective Sampling for Image Matting","publication_year":2019,"publication_date":"2019-03-05","ids":{"openalex":"https://openalex.org/W2919344340","doi":"https://doi.org/10.1109/tip.2019.2902830","mag":"2919344340","pmid":"https://pubmed.ncbi.nlm.nih.gov/30843834"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2902830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2902830","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5088160732","display_name":"Han Huang","orcid":"https://orcid.org/0000-0003-1617-4147"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Huang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1617-4147","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057118588","display_name":"Yihui Liang","orcid":"https://orcid.org/0000-0002-3966-8206"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihui Liang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3966-8206","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101509084","display_name":"Xiaowei Yang","orcid":"https://orcid.org/0000-0002-1512-487X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Yang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100396980","display_name":"Zhifeng Hao","orcid":"https://orcid.org/0000-0002-9257-2895"},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifeng Hao","raw_affiliation_strings":["School of Mathematics and Big Data, Foshan University, Foshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Big Data, Foshan University, Foshan, China","institution_ids":["https://openalex.org/I14894300"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3895,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.84915629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"28","issue":"8","first_page":"3739","last_page":"3751"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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/T11666","display_name":"Color Science and Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9947999715805054,"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/pixel","display_name":"Pixel","score":0.8166114091873169},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.7168810367584229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5673823356628418},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5095741748809814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5041342973709106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47756654024124146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47138863801956177},{"id":"https://openalex.org/keywords/alpha","display_name":"Alpha (finance)","score":0.4589908719062805},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45091894268989563},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3876025080680847},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3504672050476074},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24250227212905884}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8166114091873169},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7168810367584229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5673823356628418},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5095741748809814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5041342973709106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47756654024124146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47138863801956177},{"id":"https://openalex.org/C64943373","wikidata":"https://www.wikidata.org/wiki/Q2651003","display_name":"Alpha (finance)","level":4,"score":0.4589908719062805},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45091894268989563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3876025080680847},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3504672050476074},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24250227212905884},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C49453240","wikidata":"https://www.wikidata.org/wiki/Q1592163","display_name":"Construct validity","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2902830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2902830","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:30843834","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30843834","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":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2310090443","display_name":null,"funder_award_id":"61876207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3324590845","display_name":null,"funder_award_id":"201804010276","funder_id":"https://openalex.org/F4320335480","funder_display_name":"Guangzhou Municipal Science and Technology Project"},{"id":"https://openalex.org/G6443886621","display_name":"\u57fa\u4e8e\u534f\u540c\u641c\u7d22\u7684\u56fe\u50cf\u548c\u89c6\u9891\u62a0\u56fe\u65b0\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772225","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8266947640","display_name":null,"funder_award_id":"201607010069","funder_id":"https://openalex.org/F4320335480","funder_display_name":"Guangzhou Municipal Science and Technology Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335480","display_name":"Guangzhou Municipal Science and Technology Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W187492979","https://openalex.org/W1967268147","https://openalex.org/W1969072032","https://openalex.org/W1973919408","https://openalex.org/W1977181472","https://openalex.org/W1978508694","https://openalex.org/W1985176903","https://openalex.org/W1997057955","https://openalex.org/W2000901903","https://openalex.org/W2007640671","https://openalex.org/W2013019220","https://openalex.org/W2020032553","https://openalex.org/W2022485595","https://openalex.org/W2026019603","https://openalex.org/W2026400262","https://openalex.org/W2035773017","https://openalex.org/W2044673646","https://openalex.org/W2049583380","https://openalex.org/W2077604257","https://openalex.org/W2081418206","https://openalex.org/W2098554565","https://openalex.org/W2103334940","https://openalex.org/W2103917701","https://openalex.org/W2109815552","https://openalex.org/W2118246710","https://openalex.org/W2126105956","https://openalex.org/W2134644026","https://openalex.org/W2142771691","https://openalex.org/W2149860324","https://openalex.org/W2156406314","https://openalex.org/W2157887643","https://openalex.org/W2163352848","https://openalex.org/W2169040970","https://openalex.org/W2198098822","https://openalex.org/W2211930675","https://openalex.org/W2293703294","https://openalex.org/W2295475768","https://openalex.org/W2296349909","https://openalex.org/W2339562931","https://openalex.org/W2341803791","https://openalex.org/W2386210108","https://openalex.org/W2395511881","https://openalex.org/W2513742795","https://openalex.org/W2519398256","https://openalex.org/W2520247582","https://openalex.org/W2571232531","https://openalex.org/W2620953205","https://openalex.org/W2997387466","https://openalex.org/W3099977191","https://openalex.org/W3102476253","https://openalex.org/W6675705777"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2042102171","https://openalex.org/W2412267837"],"abstract_inverted_index":{"In":[0],"sampling-based":[1],"matting":[2,190,205],"methods,":[3],"the":[4,10,25,40,47,115,121,135,178],"alpha":[5,31,169,194],"is":[6,24,74,124],"estimated":[7],"by":[8,176],"choosing":[9],"best":[11],"pair":[12],"of":[13,21,49,84,117,137,145,148,160,209],"foreground":[14],"and":[15,46,94,99,102,199],"background":[16],"color":[17,67,92],"samples.":[18],"The":[19,66,82,188],"lack":[20],"true":[22],"samples":[23,161],"major":[26],"obstacle":[27],"in":[28,130,168,207],"obtaining":[29],"high-quality":[30,193],"mattes.":[32],"Regrettably,":[33],"several":[34],"proposed":[35,179],"approaches":[36],"did":[37],"not":[38],"address":[39,54],"conflicts":[41],"among":[42,109],"multiple":[43],"sampling":[44,63,68,111,175,186],"criteria":[45],"effects":[48,116],"incomplete":[50,118],"sample":[51,119,122],"spaces.":[52],"To":[53,113],"this":[55],"issue,":[56],"we":[57],"propose":[58],"a":[59,77,157],"pixel-level":[60,174],"discrete":[61],"multiobjective":[62,78,180],"(PDMS)":[64],"method.":[65],"process":[69],"at":[70],"each":[71],"unknown":[72,98],"pixel":[73],"formalized":[75],"as":[76],"optimization":[79,181],"problem":[80],"(MOP).":[81],"strength":[83],"PDMS":[85,155,172],"includes":[86],"its":[87,103],"ability":[88],"to":[89,105,126,183],"minimize":[90],"both":[91],"difference":[93,167],"spatial":[95],"distance":[96],"between":[97],"known":[100,128,139],"pixels,":[101],"capacity":[104],"adaptively":[106],"make":[107],"trade-offs":[108],"conflicting":[110],"criteria.":[112],"mitigate":[114],"spaces,":[120],"space":[123],"extended":[125],"complete":[127],"regions":[129],"PDMS,":[131],"which":[132],"means":[133],"that":[134,154],"colors":[136,147],"all":[138],"pixels":[140],"can":[141],"be":[142],"sampled,":[143],"instead":[144],"mean":[146],"superpixels.":[149],"Our":[150],"experimental":[151],"results":[152],"show":[153],"collects":[156],"small":[158],"set":[159],"while":[162],"achieving":[163],"smaller":[164],"minimum":[165],"absolute":[166],"estimation.":[170],"Moreover,":[171],"implements":[173],"using":[177],"algorithm":[182],"efficiently":[184],"solve":[185],"MOPs.":[187],"PDMS-based":[189],"method":[191],"provides":[192],"mattes":[195],"with":[196],"sharp":[197],"boundaries":[198],"thus":[200],"outperforms":[201],"those":[202],"prior":[203],"image":[204],"methods":[206],"terms":[208],"gradient":[210],"error.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}