{"id":"https://openalex.org/W2751227278","doi":"https://doi.org/10.1109/tip.2017.2749148","title":"Adaptive Chroma Subsampling-Binding and Luma-Guided Chroma Reconstruction Method for Screen Content Images","display_name":"Adaptive Chroma Subsampling-Binding and Luma-Guided Chroma Reconstruction Method for Screen Content Images","publication_year":2017,"publication_date":"2017-09-04","ids":{"openalex":"https://openalex.org/W2751227278","doi":"https://doi.org/10.1109/tip.2017.2749148","mag":"2751227278","pmid":"https://pubmed.ncbi.nlm.nih.gov/28880178"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2749148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2749148","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/A5002873579","display_name":"Kuo\u2010Liang Chung","orcid":"https://orcid.org/0000-0002-0946-7948"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kuo-Liang Chung","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060051488","display_name":"Chi-Chao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Chao Huang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083196338","display_name":"Tsu-Chun Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsu-Chun Hsu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002873579"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":0.7384,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.80917648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"26","issue":"12","first_page":"6034","last_page":"6045"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.998199999332428,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6862433552742004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6234683990478516},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5518209338188171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5452114343643188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40818506479263306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39817675948143005}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6862433552742004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6234683990478516},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5518209338188171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5452114343643188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40818506479263306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39817675948143005}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2017.2749148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2749148","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:28880178","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28880178","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1531228270","https://openalex.org/W1584320222","https://openalex.org/W1866504676","https://openalex.org/W1910615622","https://openalex.org/W2027567398","https://openalex.org/W2113941883","https://openalex.org/W2124378283","https://openalex.org/W2125188192","https://openalex.org/W2144595913","https://openalex.org/W2146395539","https://openalex.org/W2157494358","https://openalex.org/W2172128189","https://openalex.org/W2249152912","https://openalex.org/W2343937769","https://openalex.org/W2404847069","https://openalex.org/W2507677080","https://openalex.org/W2508412809","https://openalex.org/W2509267106","https://openalex.org/W2516858621","https://openalex.org/W2524166678","https://openalex.org/W2556261813"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,70],"propose":[4],"a":[5,33],"novel":[6],"adaptive":[7,92],"chroma":[8,13,28,44,66,88,97,124,147,240],"subsampling-binding":[9],"and":[10,26,84,95,126,128,160,189,196,213,220,234],"luma-guided":[11,96],"(ASBLG)":[12],"reconstruction":[14,98,148],"method":[15,99,149],"for":[16,216,222],"screen":[17,164],"content":[18,165],"images":[19,125,183],"(SCIs).":[20],"After":[21],"receiving":[22],"the":[23,31,42,51,58,65,79,85,115,122,129,136,141,145,175,180,205,217,223,227,237],"decoded":[24,52,81,86],"luma":[25,53,82],"subsampled":[27,56,80,87],"image":[29,54,67,83],"from":[30],"decoder,":[32],"fast":[34],"winner-first":[35],"voting":[36],"strategy":[37],"is":[38,55,100,107],"proposed":[39,146],"to":[40,48,73,139],"identify":[41],"used":[43],"subsampling":[45,60,241],"scheme":[46,61],"prior":[47],"compression.":[49],"Then,":[50],"as":[57,152],"identified":[59],"was":[62],"performed":[63],"on":[64,155,173],"such":[68],"that":[69,172,203],"are":[71,193],"able":[72],"conclude":[74],"an":[75,91],"accurate":[76],"correlation":[77],"between":[78],"image.":[89],"Accordingly,":[90],"sliding":[93],"window-based":[94],"proposed.":[101],"The":[102],"related":[103],"computational":[104],"complexity":[105],"analysis":[106],"also":[108],"provided.":[109],"We":[110],"take":[111],"two":[112],"quality":[113,142],"metrics,":[114],"color":[116],"peak":[117],"signal-to-noise":[118],"ratio":[119],"(CPSNR)":[120],"of":[121,135,178,204,211],"reconstructed":[123,137,181],"SCIs":[127,138,159,186,219],"gradient-based":[130],"structure":[131],"similarity":[132],"index":[133],"(CGSS)":[134],"evaluate":[140],"performance.":[143],"Let":[144],"be":[150],"denoted":[151],"`ASBLG'.":[153],"Based":[154],"26":[156],"typical":[157],"test":[158,163,218,224],"6":[161],"JCT-VC":[162],"video":[166],"sequences":[167],"(SCVs),":[168],"several":[169],"experiments":[170],"show":[171],"average,":[174],"CPSNR":[176,212],"gains":[177],"all":[179],"UV":[182],"by":[184,187,191,243],"4:2:0(A)-ASBLG,":[185],"4:2:0(MPEG-B)-ASBLG,":[188],"SCVs":[190,225],"4:2:0(A)-ASBLG":[192],"2.1,":[194],"1.87,":[195],"1.87":[197],"dB,":[198],"respectively,":[199],"when":[200],"compared":[201],"with":[202],"other":[206],"combinations.":[207],"Specifically,":[208],"in":[209],"terms":[210],"CGSS,":[214],"CSBILINEAR-ASBLG":[215],"CSBICUBIC-ASBLG":[221],"outperform":[226],"existing":[228],"state-of-the-art":[229],"comparative":[230],"combinations,":[231],"where":[232],"CSBILINEAR":[233],"CSBICUBIC":[235],"denote":[236],"luma-aware":[238],"based":[239],"schemes":[242],"Wang":[244],"et":[245],"al.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}