{"id":"https://openalex.org/W1497180663","doi":"https://doi.org/10.1109/icip.2003.1247338","title":"Linear shift-variant filtering for POCS of reconstruction irregularly sampled images","display_name":"Linear shift-variant filtering for POCS of reconstruction irregularly sampled images","publication_year":2004,"publication_date":"2004-06-03","ids":{"openalex":"https://openalex.org/W1497180663","doi":"https://doi.org/10.1109/icip.2003.1247338","mag":"1497180663"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2003.1247338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1247338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-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/A5073753573","display_name":"Ryszard Stasi\u0144ski","orcid":"https://orcid.org/0000-0003-2055-0379"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"R. Stasinski","raw_affiliation_strings":["Institute of Electronics and Telecommunications, Technical University of Pozna\u0144, Poznan, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Electronics and Telecommunications, Technical University of Pozna\u0144, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063199641","display_name":"Janusz Konrad","orcid":"https://orcid.org/0000-0001-9283-5416"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Konrad","raw_affiliation_strings":["Departmentof Electrical and Computer Engineering, Boston University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Departmentof Electrical and Computer Engineering, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073753573"],"corresponding_institution_ids":["https://openalex.org/I46597724"],"apc_list":null,"apc_paid":null,"fwci":0.5466,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66513511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"III","last_page":"689"},"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987999796867371,"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/linear-filter","display_name":"Linear filter","score":0.6473831534385681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5831050276756287},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5548424124717712},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.5459853410720825},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.48717254400253296},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.4831628203392029},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4739382565021515},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4697209894657135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4462253451347351},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4381420612335205},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4294361472129822},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.4292515516281128},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4125100374221802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3531029224395752},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11423999071121216}],"concepts":[{"id":"https://openalex.org/C139722471","wikidata":"https://www.wikidata.org/wiki/Q2619517","display_name":"Linear filter","level":3,"score":0.6473831534385681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5831050276756287},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5548424124717712},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.5459853410720825},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.48717254400253296},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.4831628203392029},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4739382565021515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4697209894657135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4462253451347351},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4381420612335205},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4294361472129822},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.4292515516281128},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4125100374221802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3531029224395752},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11423999071121216},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2003.1247338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1247338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W48974879","https://openalex.org/W1974249762","https://openalex.org/W1980261643","https://openalex.org/W2004421506","https://openalex.org/W2019794334","https://openalex.org/W2039973979","https://openalex.org/W2105803779","https://openalex.org/W2141297527","https://openalex.org/W6601985364"],"related_works":["https://openalex.org/W2085219086","https://openalex.org/W2141599702","https://openalex.org/W4388903858","https://openalex.org/W2008697969","https://openalex.org/W1902114972","https://openalex.org/W4312799022","https://openalex.org/W2153540021","https://openalex.org/W2170066185","https://openalex.org/W2188078572","https://openalex.org/W156274020"],"abstract_inverted_index":{"The":[0,114],"reconstruction":[1,30,140],"of":[2,77,99,123,138],"a":[3,10,24,73,120,135],"regularly-sampled":[4],"image":[5],"from":[6],"irregularly-spaced":[7],"samples":[8,86],"is":[9,107,117],"stumbling":[11],"block":[12],"in":[13,56,87],"various":[14],"video":[15],"processing":[16],"tasks.":[17],"In":[18,91],"the":[19,43,78,84,139,144],"past,":[20],"we":[21,47,94],"have":[22,48],"developed":[23],"POCS-based":[25],"(projection":[26],"onto":[27],"convex":[28],"sets)":[29],"method":[31,44],"that":[32],"applies":[33],"two":[34],"operators":[35],"sequentially:":[36],"bandwidth":[37,129],"limitation":[38],"and":[39],"sample":[40],"substitution.":[41],"Although":[42],"works":[45],"well,":[46],"observed":[49],"an":[50,96],"interesting":[51],"paradox:":[52],"wide-band":[53,79],"filtering":[54,65,106,116],"results":[55],"better-looking":[57],"images,":[58],"but":[59],"lower":[60],"PSNR":[61],"values,":[62],"than":[63],"narrow-band":[64],"(increased":[66],"blur).":[67],"This":[68],"can":[69],"be":[70],"explained":[71],"by":[72,109],"too-short":[74],"impulse":[75],"response":[76],"filter":[80],"unable":[81],"to":[82,143],"\"fill-in\"":[83],"missing":[85],"sparsely":[88],"populated":[89],"areas.":[90],"this":[92],"paper,":[93],"propose":[95],"improved":[97],"version":[98],"our":[100],"algorithm":[101],"where":[102],"linear":[103,110],"shift-invariant":[104],"(LSI)":[105],"replaced":[108],"shift-variant":[111],"(LSV)":[112],"filtering.":[113,147],"LSV":[115,146],"implemented":[118],"as":[119],"parallel":[121],"bank":[122],"LSI":[124],"filters,":[125],"each":[126],"with":[127],"different":[128],"(impulse":[130],"response).":[131],"We":[132],"demonstrate":[133],"experimentally":[134],"significant":[136],"reduction":[137],"error":[141],"due":[142],"new":[145]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
