{"id":"https://openalex.org/W2134597629","doi":"https://doi.org/10.1109/acc.2006.1657638","title":"Optimal time-sequential sampling of tone reproduction function","display_name":"Optimal time-sequential sampling of tone reproduction function","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2134597629","doi":"https://doi.org/10.1109/acc.2006.1657638","mag":"2134597629"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2006.1657638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2006.1657638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 American Control Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113552530","display_name":"Teck Ping Sim","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Teck Ping Sim","raw_affiliation_strings":["Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN, USA","[Dept. of Mech. Eng., Minnesota Univ., Minneapolis, MN, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"[Dept. of Mech. Eng., Minnesota Univ., Minneapolis, MN, USA]","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404007","display_name":"Perry Y. Li","orcid":"https://orcid.org/0000-0001-6433-3945"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P.Y. Li","raw_affiliation_strings":["Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN, USA","[Dept. of Mech. Eng., Minnesota Univ., Minneapolis, MN, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"[Dept. of Mech. Eng., Minnesota Univ., Minneapolis, MN, USA]","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":1.0837,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76486313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"6 pp.","last_page":"6 pp."},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9866999983787537,"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":0.9866999983787537,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.980400025844574,"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/computer-science","display_name":"Computer science","score":0.7426629066467285},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.5712051391601562},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5380610227584839},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.520779550075531},{"id":"https://openalex.org/keywords/sequential-estimation","display_name":"Sequential estimation","score":0.4858812689781189},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.43774932622909546},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4238457679748535},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.416026771068573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27537477016448975},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2252206802368164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7426629066467285},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.5712051391601562},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5380610227584839},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.520779550075531},{"id":"https://openalex.org/C86426650","wikidata":"https://www.wikidata.org/wiki/Q7452504","display_name":"Sequential estimation","level":2,"score":0.4858812689781189},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.43774932622909546},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4238457679748535},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.416026771068573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27537477016448975},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2252206802368164},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2006.1657638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2006.1657638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 American Control Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1496801598","https://openalex.org/W1964727760","https://openalex.org/W1995990042","https://openalex.org/W2062968087","https://openalex.org/W2100437864","https://openalex.org/W2108601483","https://openalex.org/W2133852693","https://openalex.org/W2142177693","https://openalex.org/W4292408570","https://openalex.org/W6676255726"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W4248383205","https://openalex.org/W2996441418","https://openalex.org/W4286614785","https://openalex.org/W3084192357","https://openalex.org/W2387422968","https://openalex.org/W2290740811"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,21],"procedure":[4,99],"to":[5],"design":[6],"an":[7],"optimal":[8],"time-sequential":[9,113],"sampling":[10,13],"(OTSS)":[11],"for":[12,72,100],"the":[14,31,44,55,79,89,107],"time-varying":[15,56],"tone/color":[16],"reproduction":[17],"functions":[18],"(TRC/CRC)":[19],"of":[20,34,81,91,109],"printing":[22],"process.":[23],"OTSS":[24,83,110],"can":[25,58],"achieve":[26],"high":[27],"fidelity":[28],"sensing":[29,35],"using":[30],"least":[32],"amount":[33],"hardware":[36],"and":[37,86],"other":[38,112],"resources.":[39],"In":[40,76],"particular":[41],"it":[42],"maximizes":[43],"time":[45],"between":[46],"each":[47],"successive":[48],"sample":[49],"without":[50],"resulting":[51],"in":[52,88],"aliasing.":[53],"Therefore":[54],"TRC/CRC":[57,67],"be":[59],"reconstructed":[60,66],"with":[61],"minimal":[62],"reconstruction":[63],"error.":[64],"The":[65],"are":[68],"needed":[69],"as":[70],"feedback":[71],"color/tone":[73],"consistency":[74],"control.":[75],"this":[77],"paper,":[78],"problem":[80],"finding":[82],"is":[84,102],"posed":[85],"solved":[87],"context":[90],"lattice":[92],"based":[93],"multi-dimensional":[94],"signal":[95],"sampling.":[96],"A":[97],"computational":[98],"implementation":[101],"given.":[103],"Simulation":[104],"studies":[105],"validate":[106],"advantages":[108],"over":[111],"samplings":[114],"methods.":[115]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
