{"id":"https://openalex.org/W1516407428","doi":"https://doi.org/10.1109/icassp.1986.1169232","title":"A parallel identification procedure for images with noncausal symmetric blurs","display_name":"A parallel identification procedure for images with noncausal symmetric blurs","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1516407428","doi":"https://doi.org/10.1109/icassp.1986.1169232","mag":"1516407428"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1986.1169232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1169232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5078931169","display_name":"J. Biemond","orcid":"https://orcid.org/0000-0001-5300-8274"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"J. Biemond","raw_affiliation_strings":["Information Theory Group, Electrical Engineering Department, Delft University of Technnology, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Theory Group, Electrical Engineering Department, Delft University of Technnology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017342584","display_name":"F. van der Putten","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"F. van der Putten","raw_affiliation_strings":["Information Theory Group, Electrical Engineering Department, Delft University of Technnology, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Theory Group, Electrical Engineering Department, Delft University of Technnology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109049985","display_name":"J. Woods","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"J. Woods","raw_affiliation_strings":["Information Theory Group, Electrical Engineering Department, Delft University of Technnology, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Theory Group, Electrical Engineering Department, Delft University of Technnology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":0.2565,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.41608809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1489","last_page":"1492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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":0.9965000152587891,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.7193397283554077},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6622346043586731},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6243959665298462},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5811034440994263},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5727274417877197},{"id":"https://openalex.org/keywords/parameter-identification-problem","display_name":"Parameter identification problem","score":0.4852873980998993},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4641408324241638},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44893747568130493},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.430197149515152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42373955249786377},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3882347345352173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3760342001914978},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3227998614311218},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08262500166893005}],"concepts":[{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.7193397283554077},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6622346043586731},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6243959665298462},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5811034440994263},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5727274417877197},{"id":"https://openalex.org/C79610928","wikidata":"https://www.wikidata.org/wiki/Q1656743","display_name":"Parameter identification problem","level":3,"score":0.4852873980998993},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4641408324241638},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44893747568130493},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.430197149515152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42373955249786377},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3882347345352173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3760342001914978},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3227998614311218},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08262500166893005},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2983447341","wikidata":"https://www.wikidata.org/wiki/Q1413083","display_name":"Model parameter","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1986.1169232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1169232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","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":9,"referenced_works":["https://openalex.org/W1763275694","https://openalex.org/W1948991952","https://openalex.org/W2009692134","https://openalex.org/W2086627000","https://openalex.org/W2144145997","https://openalex.org/W2150631291","https://openalex.org/W2163636005","https://openalex.org/W2584483009","https://openalex.org/W2584736254"],"related_works":["https://openalex.org/W199725827","https://openalex.org/W4248896451","https://openalex.org/W2042488917","https://openalex.org/W2139476852","https://openalex.org/W2067753569","https://openalex.org/W2354460942","https://openalex.org/W3005968089","https://openalex.org/W4246547903","https://openalex.org/W133623380","https://openalex.org/W4206556509"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"a":[3,28,79],"parallel":[4,29],"scheme":[5],"is":[6,17,75],"presented":[7],"for":[8],"the":[9,20,42,88],"identification":[10,22,38,93],"of":[11,31,83],"two-dimensional":[12],"noncausal":[13,81],"image":[14],"blurs.":[15],"It":[16],"shown":[18,67],"that":[19,68],"blur":[21],"problem":[23],"can":[24,56],"be":[25,57,66],"specified":[26],"as":[27,45,97],"set":[30,82],"one-dimensional":[32],"complex":[33],"autoregressive":[34],"moving":[35],"average":[36],"(ARMA)":[37],"problems.":[39],"By":[40],"expressing":[41],"ARMA":[43],"models":[44],"equivalent":[46],"infinite-order":[47],"auto-regressive":[48],"(AR)":[49],"models,":[50],"an":[51],"entirely":[52],"linear":[53],"estimation":[54],"procedure":[55],"followed":[58],"yielding":[59],"minimum":[60],"phase":[61],"solutions.":[62],"Further,":[63],"it":[64,74],"will":[65],"under":[69],"certain":[70],"conditions":[71],"(blur":[72],"symmetry)":[73],"possible":[76],"to":[77],"reconstruct":[78],"useful":[80],"MA":[84],"(blur)":[85],"parameters":[86],"from":[87],"identified":[89],"minimum-phase":[90],"set.":[91],"Several":[92],"results":[94],"are":[95],"given":[96],"examples.":[98]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}