{"id":"https://openalex.org/W2891634559","doi":"https://doi.org/10.1145/3272127.3275060","title":"Image super-resolution via deterministic-stochastic synthesis and local statistical rectification","display_name":"Image super-resolution via deterministic-stochastic synthesis and local statistical rectification","publication_year":2018,"publication_date":"2018-11-28","ids":{"openalex":"https://openalex.org/W2891634559","doi":"https://doi.org/10.1145/3272127.3275060","mag":"2891634559"},"language":"en","primary_location":{"id":"doi:10.1145/3272127.3275060","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3272127.3275060","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3272127.3275060","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3272127.3275060","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Weifeng Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Weifeng Ge","raw_affiliation_strings":["The University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bingchen Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bingchen Gong","raw_affiliation_strings":["The University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yizhou Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yizhou Yu","raw_affiliation_strings":["The University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.5318,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.71569259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"37","issue":"6","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9876999855041504,"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":0.9876999855041504,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.002400000113993883,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.002300000051036477,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/component","display_name":"Component (thermodynamics)","score":0.645799994468689},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6380000114440918},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.531000018119812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4805999994277954},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46630001068115234},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4018999934196472},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.3959999978542328},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.3653999865055084},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.35350000858306885}],"concepts":[{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.645799994468689},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6380000114440918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5857999920845032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5856999754905701},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.531000018119812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4805999994277954},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46630001068115234},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4632999897003174},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3959999978542328},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.3653999865055084},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.35350000858306885},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34869998693466187},{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.33079999685287476},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.32760000228881836},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3149000108242035},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3001999855041504},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C13533509","wikidata":"https://www.wikidata.org/wiki/Q1064349","display_name":"Deterministic algorithm","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.2743000090122223},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2646999955177307},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2572000026702881},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3272127.3275060","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3272127.3275060","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3272127.3275060","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1809.06557","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.06557","pdf_url":"https://arxiv.org/pdf/1809.06557","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3272127.3275060","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3272127.3275060","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3272127.3275060","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2891634559.pdf","grobid_xml":"https://content.openalex.org/works/W2891634559.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W42608107","https://openalex.org/W54257720","https://openalex.org/W845365781","https://openalex.org/W1677182931","https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2033021901","https://openalex.org/W2047920195","https://openalex.org/W2049237558","https://openalex.org/W2061398022","https://openalex.org/W2097074225","https://openalex.org/W2112794790","https://openalex.org/W2117539524","https://openalex.org/W2118963448","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2136404310","https://openalex.org/W2150081556","https://openalex.org/W2159522388","https://openalex.org/W2161516371","https://openalex.org/W2242218935","https://openalex.org/W2475287302","https://openalex.org/W2607041014","https://openalex.org/W2739757502","https://openalex.org/W2747898905","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2964101377","https://openalex.org/W2964125708","https://openalex.org/W3160998073","https://openalex.org/W4241944036"],"related_works":[],"abstract_inverted_index":{"Single":[0],"image":[1,52,166,201],"superresolution":[2],"has":[3,15],"been":[4],"a":[5,18,36,42,49,54,59,63,125,214,227],"popular":[6],"research":[7],"topic":[8],"in":[9,76],"the":[10,73,77,84,88,95,116,134,152,163,195,199,203,208,219],"last":[11],"two":[12,57,101,107,157,169,175],"decades":[13],"and":[14,62,213],"recently":[16],"received":[17],"new":[19],"wave":[20],"of":[21,56,198,207],"interest":[22],"due":[23],"to":[24,41,162,167,193],"deep":[25,130,153,182],"neural":[26,131,183],"networks.":[27,132],"In":[28],"this":[29,33],"paper,":[30],"we":[31,47,141],"approach":[32],"problem":[34,127],"from":[35,72],"different":[37],"perspective.":[38],"With":[39],"respect":[40],"downsampled":[43,78],"low":[44,96],"resolution":[45,51,97],"image,":[46],"model":[48],"high":[50],"as":[53,124],"combination":[55],"components,":[58],"deterministic":[60,67,119,135],"component":[61,68,120,136],"stochastic":[64,81,117],"component.":[65],"The":[66,80],"can":[69],"be":[70],"recovered":[71],"low-frequency":[74],"signals":[75,89],"image.":[79,98,210],"component,":[82,118],"on":[83],"other":[85],"hand,":[86],"contains":[87],"that":[90,185,218],"have":[91],"little":[92],"correlation":[93],"with":[94,226],"We":[99],"adopt":[100],"complementary":[102],"methods":[103,158],"for":[104,115,147,150],"generating":[105],"these":[106,174],"components.":[108],"While":[109],"generative":[110],"adversarial":[111],"networks":[112],"are":[113,159,177],"used":[114],"reconstruction":[121],"is":[122],"formulated":[123],"regression":[126,154],"solved":[128],"using":[129,180],"Since":[133],"exhibits":[137],"clearer":[138],"local":[139,188,196,205],"orientations,":[140],"design":[142],"novel":[143],"loss":[144],"functions":[145],"tailored":[146],"such":[148],"properties":[149],"training":[151],"network.":[155],"These":[156],"first":[160],"applied":[161],"entire":[164],"input":[165],"produce":[168],"distinct":[170],"high-resolution":[171],"images.":[172],"Afterwards,":[173],"images":[176],"fused":[178,200],"together":[179],"another":[181],"network":[184],"also":[186],"performs":[187],"statistical":[189],"rectification,":[190],"which":[191],"tries":[192],"make":[194],"statistics":[197,206],"match":[202],"same":[204],"groundtruth":[209],"Quantitative":[211],"results":[212],"user":[215],"study":[216],"indicate":[217],"proposed":[220],"method":[221],"outperforms":[222],"existing":[223],"state-of-the-art":[224],"algorithms":[225],"clear":[228],"margin.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2018-09-27T00:00:00"}