{"id":"https://openalex.org/W4206212499","doi":"https://doi.org/10.1109/tcsvt.2021.3133600","title":"Low-Complexity Chroma Subsampling Using Optimal Lines of Subproblems of Pixel Distortion","display_name":"Low-Complexity Chroma Subsampling Using Optimal Lines of Subproblems of Pixel Distortion","publication_year":2021,"publication_date":"2021-12-08","ids":{"openalex":"https://openalex.org/W4206212499","doi":"https://doi.org/10.1109/tcsvt.2021.3133600"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3133600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3133600","pdf_url":"https://ieeexplore.ieee.org/ielx7/76/9812753/09642228.pdf","source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/76/9812753/09642228.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101719340","display_name":"Ting-Lan Lin","orcid":"https://orcid.org/0000-0002-6901-6065"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ting-Lan Lin","raw_affiliation_strings":["Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-6901-6065","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016196543","display_name":"Kun-Hu Jiang","orcid":"https://orcid.org/0000-0001-9254-6593"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kun-Hu Jiang","raw_affiliation_strings":["Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-9254-6593","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002246068","display_name":"Jian-Syuan Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jian-Syuan Tu","raw_affiliation_strings":["Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17912614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"32","issue":"7","first_page":"4778","last_page":"4787"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5702806115150452},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5683199167251587},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5336170196533203},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5333478450775146},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4920460879802704},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48473498225212097},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4784112870693207},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45747092366218567},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4492621421813965},{"id":"https://openalex.org/keywords/line-search","display_name":"Line search","score":0.4417887330055237},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4398951530456543},{"id":"https://openalex.org/keywords/distortion-function","display_name":"Distortion function","score":0.43629902601242065},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.43361347913742065},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41690629720687866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3918803930282593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3356187343597412},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.28031522035598755},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.10175824165344238},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.08427506685256958}],"concepts":[{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5702806115150452},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5683199167251587},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5336170196533203},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5333478450775146},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4920460879802704},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48473498225212097},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4784112870693207},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45747092366218567},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4492621421813965},{"id":"https://openalex.org/C85522705","wikidata":"https://www.wikidata.org/wiki/Q3278015","display_name":"Line search","level":3,"score":0.4417887330055237},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4398951530456543},{"id":"https://openalex.org/C2780803321","wikidata":"https://www.wikidata.org/wiki/Q5283073","display_name":"Distortion function","level":3,"score":0.43629902601242065},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.43361347913742065},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41690629720687866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3918803930282593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3356187343597412},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28031522035598755},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.10175824165344238},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.08427506685256958},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.0},{"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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3133600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3133600","pdf_url":"https://ieeexplore.ieee.org/ielx7/76/9812753/09642228.pdf","source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tcsvt.2021.3133600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3133600","pdf_url":"https://ieeexplore.ieee.org/ielx7/76/9812753/09642228.pdf","source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3066559509","display_name":null,"funder_award_id":"109-2221-E-027-085","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G5930297615","display_name":null,"funder_award_id":"110-2221-E-027-044-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G6613156102","display_name":null,"funder_award_id":"108-2221-E-027-024","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4206212499.pdf","grobid_xml":"https://content.openalex.org/works/W4206212499.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1969210895","https://openalex.org/W2000354683","https://openalex.org/W2038250289","https://openalex.org/W2042340641","https://openalex.org/W2101851677","https://openalex.org/W2153957340","https://openalex.org/W2320540034","https://openalex.org/W2410797836","https://openalex.org/W2508990087","https://openalex.org/W2557236696","https://openalex.org/W2581332730","https://openalex.org/W2710979884","https://openalex.org/W2751227278","https://openalex.org/W2897849141","https://openalex.org/W2900312390","https://openalex.org/W2948807313","https://openalex.org/W2971941407","https://openalex.org/W3105343338","https://openalex.org/W3123187387","https://openalex.org/W3190470001","https://openalex.org/W4243445159"],"related_works":["https://openalex.org/W2151255364","https://openalex.org/W2532084905","https://openalex.org/W2123462506","https://openalex.org/W2285039347","https://openalex.org/W2099506013","https://openalex.org/W2010743194","https://openalex.org/W2368110968","https://openalex.org/W2067798612","https://openalex.org/W2039939082","https://openalex.org/W2378618850"],"abstract_inverted_index":{"Video":[0],"compression":[1],"is":[2,18,21,28,44,95,120,138,145,165,181],"an":[3],"important":[4],"procedure":[5],"for":[6,13,48,105,187,244],"digital":[7],"applications.":[8],"A":[9,53],"commonly":[10],"used":[11],"format":[12],"inputs":[14],"to":[15,63,73,149,169,221],"video":[16],"coders":[17],"YUV420,":[19],"which":[20],"a":[22,33,45,60,70,150,161],"subsampled":[23],"result":[24],"from":[25,32],"YUV444,":[26],"that":[27,198,208],"transformed":[29],"and":[30,68,90,122,167,235,249],"demosaicked":[31],"color":[34],"filter":[35],"array":[36],"(CFA)":[37],"format.":[38,131],"The":[39,132,143],"process":[40],"of":[41,59,87,98,101,116,135,157,239],"chroma":[42],"subsampling":[43],"crucial":[46],"step":[47],"the":[49,57,65,75,78,84,88,91,99,102,106,110,113,117,129,155,158,171,176,185,188,199,211,217,222,225,230,237,245],"reconstructed":[50,204],"image":[51,246],"quality.":[52],"state-of-the-art":[54,218,223],"method":[55,62,72,80,104],"utilizes":[56],"solution":[58],"prior":[61,103],"compute":[64],"starting":[66,107],"point,":[67],"devises":[69],"search":[71,79,163,179,186,240],"improve":[74],"results.":[76],"However,":[77],"does":[81],"not":[82],"consider":[83],"optimality":[85],"condition":[86],"problem,":[89],"overall":[92],"computational":[93],"complexity":[94,232],"high":[96],"because":[97,175],"execution":[100],"point.":[108],"In":[109],"proposed":[111,200,226],"work,":[112],"cost":[114],"function":[115],"optimization":[118],"problem":[119,144],"analyzed":[121],"decomposed":[123],"into":[124],"4":[125],"subchannels":[126],"based":[127],"on":[128,154,183],"CFA":[130],"optimal":[133,159,172,189],"line":[134],"each":[136],"subterm":[137],"studied":[139],"in":[140],"3-dimensional":[141],"space.":[142],"then":[146],"mathematically":[147],"reduced":[148],"3-subchannel":[151],"problem.":[152],"Based":[153],"combinations":[156],"lines,":[160],"triangle":[162,178],"area":[164,180],"formed":[166],"proved":[168],"contain":[170],"solution.":[173],"And":[174],"derived":[177],"small":[182],"average,":[184],"value":[190],"can":[191,202,228],"be":[192],"considerably":[193],"fast.":[194],"Experimental":[195],"results":[196],"demonstrate":[197],"approach":[201,227],"produce":[203],"images":[205],"with":[206,251],"qualities":[207],"are":[209],"exactly":[210],"same":[212],"as":[213],"those":[214],"generated":[215],"using":[216],"method.":[219],"Relative":[220],"method,":[224],"reduce":[229,236],"time":[231],"by":[233,242],"84.08%\u201384.91%,":[234],"number":[238],"points":[241],"40.24%\u201385.25%,":[243],"datasets":[247],"Kodak":[248],"IMAX":[250],"different":[252],"demosaicking":[253],"methods.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}