{"id":"https://openalex.org/W2855407881","doi":"https://doi.org/10.1142/s021946781850016x","title":"Real-Time Continuous Image Processing","display_name":"Real-Time Continuous Image Processing","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2855407881","doi":"https://doi.org/10.1142/s021946781850016x","mag":"2855407881"},"language":"en","primary_location":{"id":"doi:10.1142/s021946781850016x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021946781850016x","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","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/A5011218465","display_name":"Leonardo Sacht","orcid":"https://orcid.org/0000-0002-5071-1455"},"institutions":[{"id":"https://openalex.org/I4210126369","display_name":"Polydoro Ernani de S\u00e3o Thiago University Hospital","ror":"https://ror.org/0303d1x26","country_code":"BR","type":"healthcare","lineage":["https://openalex.org/I4210126369"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Leonardo Sacht","raw_affiliation_strings":["UFSC \u2014 Department of Mathematics, Campus Trindade-88040-900 Florianopolis, Brazil"],"affiliations":[{"raw_affiliation_string":"UFSC \u2014 Department of Mathematics, Campus Trindade-88040-900 Florianopolis, Brazil","institution_ids":["https://openalex.org/I4210126369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068926891","display_name":"Diego Nehab","orcid":"https://orcid.org/0000-0001-9536-0794"},"institutions":[{"id":"https://openalex.org/I141883831","display_name":"Instituto Nacional de Matem\u00e1tica Pura e Aplicada","ror":"https://ror.org/028caqe42","country_code":"BR","type":"facility","lineage":["https://openalex.org/I141883831","https://openalex.org/I4210151455"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Diego Nehab","raw_affiliation_strings":["IMPA, Estrada Dona Castorina, 110-22460-320 Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"IMPA, Estrada Dona Castorina, 110-22460-320 Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I141883831"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111560470","display_name":"Rodolfo S. Lima","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rodolfo Schulz de Lima","raw_affiliation_strings":["NVIDIA, Haus 1 West, Fl\u00f6\u00dfergasse 2-81369 M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"NVIDIA, Haus 1 West, Fl\u00f6\u00dfergasse 2-81369 M\u00fcnchen, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011218465"],"corresponding_institution_ids":["https://openalex.org/I4210126369"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4333382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"18","issue":"03","first_page":"1850016","last_page":"1850016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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"}},{"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991000294685364,"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/aliasing","display_name":"Aliasing","score":0.817604660987854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7485388517379761},{"id":"https://openalex.org/keywords/anti-aliasing","display_name":"Anti-aliasing","score":0.6957669854164124},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.6837756633758545},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5268979072570801},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4531926214694977},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.4529799222946167},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44067448377609253},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4396921396255493},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4225555956363678},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4126022756099701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37219518423080444},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36106306314468384},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.2612033784389496},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.23370057344436646},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.12406265735626221},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.09104067087173462},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.08789634704589844}],"concepts":[{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.817604660987854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7485388517379761},{"id":"https://openalex.org/C534633266","wikidata":"https://www.wikidata.org/wiki/Q4774317","display_name":"Anti-aliasing","level":5,"score":0.6957669854164124},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.6837756633758545},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5268979072570801},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4531926214694977},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.4529799222946167},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44067448377609253},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4396921396255493},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4225555956363678},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4126022756099701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37219518423080444},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36106306314468384},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.2612033784389496},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.23370057344436646},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.12406265735626221},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.09104067087173462},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.08789634704589844},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021946781850016x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021946781850016x","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1489850644","https://openalex.org/W1639421008","https://openalex.org/W1987278426","https://openalex.org/W2017001763","https://openalex.org/W2051064533","https://openalex.org/W2065460909","https://openalex.org/W2073431334","https://openalex.org/W2096026309","https://openalex.org/W2109453625","https://openalex.org/W2110057212","https://openalex.org/W2123742075","https://openalex.org/W2133665775","https://openalex.org/W2153608957","https://openalex.org/W2157494358","https://openalex.org/W2163889321","https://openalex.org/W2293401859","https://openalex.org/W2294600765","https://openalex.org/W4205992357","https://openalex.org/W4236695385","https://openalex.org/W4244659560"],"related_works":["https://openalex.org/W2379888591","https://openalex.org/W2391609463","https://openalex.org/W2387218911","https://openalex.org/W2050101570","https://openalex.org/W2016506074","https://openalex.org/W2389475303","https://openalex.org/W117470531","https://openalex.org/W2013059460","https://openalex.org/W296586643","https://openalex.org/W1965744692"],"abstract_inverted_index":{"In":[0,138],"this":[1,114],"work,":[2],"we":[3,66,77,141],"propose":[4],"a":[5,9],"framework":[6,133],"that":[7,79,161],"performs":[8],"number":[10],"of":[11,27,35,62,91,109,131],"popular":[12,136],"image-processing":[13,49,85],"operations":[14,31,50,86],"in":[15,21,43,174],"the":[16,24,72,88,92,105,119,129,143],"continuous":[17,73,89,96,147,171],"domain.":[18],"This":[19,60,94],"is":[20,41,61,81,98],"contrast":[22],"to":[23,45,56,71,83,103,118,169],"standard":[25],"practice":[26],"defining":[28],"them":[29],"as":[30,65],"over":[32,87,124],"discrete":[33,125,150],"sequences":[34],"sampled":[36,102],"values.":[37,126],"The":[38,107],"guiding":[39],"principle":[40],"that,":[42],"order":[44],"prevent":[46],"aliasing,":[47],"nonlinear":[48],"should":[51],"ideally":[52],"be":[53],"performed":[54],"prior":[55],"prefiltering":[57],"and":[58,101,152],"sampling.":[59],"course":[63],"impractical,":[64],"may":[67],"not":[68],"have":[69],"access":[70],"input.":[74,93],"Even":[75],"so,":[76],"show":[78],"it":[80],"best":[82],"apply":[84],"reconstruction":[90,111],"transformed":[95],"representation":[97],"then":[99],"prefiltered":[100],"produce":[104],"output.":[106],"use":[108],"high-quality":[110],"strategies":[112],"brings":[113],"alternative":[115],"much":[116],"closer":[117],"ideal":[120],"than":[121],"directly":[122],"operating":[123],"We":[127],"illustrate":[128],"advantages":[130],"our":[132,157],"with":[134],"several":[135],"effects.":[137],"each":[139],"case,":[140],"demonstrate":[142],"quality":[144],"difference":[145],"between":[146],"image-processing,":[148],"their":[149],"counterparts":[151],"previous":[153],"anti-aliasing":[154],"alternatives.":[155],"Finally,":[156],"GPU":[158],"implementation":[159],"shows":[160],"current":[162],"graphics":[163],"hardware":[164],"has":[165],"enough":[166],"computational":[167],"power":[168],"perform":[170],"image":[172],"processing":[173],"real-time.":[175]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
