{"id":"https://openalex.org/W2895562335","doi":"https://doi.org/10.1109/tvlsi.2018.2870858","title":"A Method to Reduce the Effect on Image Quality Caused by Resistance of Column Bus","display_name":"A Method to Reduce the Effect on Image Quality Caused by Resistance of Column Bus","publication_year":2018,"publication_date":"2018-10-03","ids":{"openalex":"https://openalex.org/W2895562335","doi":"https://doi.org/10.1109/tvlsi.2018.2870858","mag":"2895562335"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2018.2870858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2018.2870858","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Very Large Scale Integration (VLSI) Systems","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/A5051428047","display_name":"Jiangtao Xu","orcid":"https://orcid.org/0000-0003-1162-6562"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiangtao Xu","raw_affiliation_strings":["Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-1162-6562","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318063","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-9184-7837"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-9184-7837","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025807838","display_name":"Kaiming Nie","orcid":"https://orcid.org/0000-0002-5383-0580"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiming Nie","raw_affiliation_strings":["Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103191808","display_name":"Liqiang Han","orcid":"https://orcid.org/0000-0002-1353-279X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqiang Han","raw_affiliation_strings":["Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061156318","display_name":"Xiyang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyang Zhao","raw_affiliation_strings":["Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051428047"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.3927,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.64101256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"27","issue":"1","first_page":"173","last_page":"181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/pixel","display_name":"Pixel","score":0.7537360191345215},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5564090013504028},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.5243252515792847},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.523696780204773},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.510412871837616},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.48672035336494446},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4473402798175812},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.400096595287323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33104750514030457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32925060391426086},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3256644010543823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30095401406288147},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2361668050289154},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13142317533493042},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11361846327781677}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7537360191345215},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5564090013504028},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.5243252515792847},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.523696780204773},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.510412871837616},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.48672035336494446},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4473402798175812},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.400096595287323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33104750514030457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32925060391426086},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3256644010543823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30095401406288147},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2361668050289154},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13142317533493042},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11361846327781677},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvlsi.2018.2870858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2018.2870858","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4561093354","display_name":null,"funder_award_id":"61774110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7574917278","display_name":null,"funder_award_id":"61434004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W56828204","https://openalex.org/W1548368440","https://openalex.org/W1935348647","https://openalex.org/W1984910794","https://openalex.org/W1996812158","https://openalex.org/W2042602016","https://openalex.org/W2076890782","https://openalex.org/W2078649729","https://openalex.org/W2133665775","https://openalex.org/W2152003804","https://openalex.org/W2157029929","https://openalex.org/W2168093285","https://openalex.org/W2177854375","https://openalex.org/W2288474388","https://openalex.org/W2292489093","https://openalex.org/W2531327760","https://openalex.org/W2549404976","https://openalex.org/W2794266629","https://openalex.org/W6640360384","https://openalex.org/W6646539895","https://openalex.org/W6682701953","https://openalex.org/W6684694779","https://openalex.org/W6696173995"],"related_works":["https://openalex.org/W3014521742","https://openalex.org/W2617868873","https://openalex.org/W3204141294","https://openalex.org/W4306968100","https://openalex.org/W2181722423","https://openalex.org/W2562383580","https://openalex.org/W118630527","https://openalex.org/W2169415604","https://openalex.org/W2171986175","https://openalex.org/W2005223122"],"abstract_inverted_index":{"In":[0,106],"this":[1,66],"paper,":[2],"a":[3,69,107,112,134],"method":[4,175],"to":[5,151,160,171],"reduce":[6,59],"the":[7,14,28,32,35,42,60,63,74,85,91,120,125,138,141,164],"effect":[8,36,61],"on":[9,37,81],"image":[10,23,38,178,182],"quality":[11,39,179],"caused":[12,40],"by":[13,41,72],"parasitic":[15],"resistance":[16,43,47,126],"of":[17,31,62,84,95,100],"column":[18,33,78,129],"bus":[19],"in":[20],"high-resolution":[21,181],"cMOS":[22],"sensors":[24,183],"is":[25,44,104],"presented.":[26],"Through":[27],"mathematical":[29],"model":[30],"bus,":[34],"analyzed.":[45,105],"The":[46,88,153,173],"would":[48,127],"cause":[49,128],"two":[50],"nonideal":[51,64],"factors:":[52],"dynamic":[53],"swing":[54],"reduction":[55],"and":[56,77,97,111,163],"nonlinearity.":[57],"To":[58],"factors,":[65],"paper":[67],"utilizes":[68],"layout":[70],"design":[71],"putting":[73],"readout":[75],"circuit":[76,80],"bias":[79],"different":[82],"sides":[83],"pixel":[86,118],"array.":[87],"relationship":[89],"among":[90],"resistance,":[92],"light":[93],"intensity":[94],"input,":[96],"standard":[98,143],"deviation":[99,144],"output":[101],"gray":[102],"levels":[103],"0.13-\u03bcm":[108],"CMOS":[109],"process":[110],"12":[113,116],"cm":[114,117],"\u00d7":[115],"array,":[119],"simulation":[121],"result":[122],"shows":[123],"that":[124],"stripes":[130],"or":[131],"gradient":[132],"under":[133,145],"traditional":[135],"method.":[136],"Under":[137],"proposed":[139,174],"method,":[140],"peak":[142,154],"uniform":[146],"illumination":[147],"decreases":[148],"from":[149,158,169],"16.25":[150],"1.44.":[152],"signal-to-noise":[155],"ratio":[156],"increases":[157,168],"64.66":[159],"91.64":[161],"dB":[162],"structural":[165],"similarity":[166],"index":[167],"0.79":[170],"0.97.":[172],"can":[176],"enhance":[177],"for":[180],"significantly.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
