{"id":"https://openalex.org/W2132191276","doi":"https://doi.org/10.1109/icassp.1981.1171113","title":"Sequential image enhancement using 2-D adaptive estimation","display_name":"Sequential image enhancement using 2-D adaptive estimation","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2132191276","doi":"https://doi.org/10.1109/icassp.1981.1171113","mag":"2132191276"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1981.1171113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1981.1171113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5066775695","display_name":"J.A. Ponnusamy","orcid":null},"institutions":[{"id":"https://openalex.org/I57053284","display_name":"Rockwell Automation (United States)","ror":"https://ror.org/01sx1pm50","country_code":"US","type":"company","lineage":["https://openalex.org/I57053284"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J. Ponnusamy","raw_affiliation_strings":["Rockwell Collins, Inc., Cedar Rapids, IA, USA"],"affiliations":[{"raw_affiliation_string":"Rockwell Collins, Inc., Cedar Rapids, IA, USA","institution_ids":["https://openalex.org/I57053284"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111439321","display_name":"M Srinath","orcid":null},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Srinath","raw_affiliation_strings":["Department of Elec. Engineering, Southern Methodist University, Dallas, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Elec. Engineering, Southern Methodist University, Dallas, TX, USA","institution_ids":["https://openalex.org/I178169726"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066775695"],"corresponding_institution_ids":["https://openalex.org/I57053284"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19920627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1109","last_page":"1112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9968000054359436,"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/monochromatic-color","display_name":"Monochromatic color","score":0.6820703744888306},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6015768647193909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5844272971153259},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5673460960388184},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.533621072769165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4397440552711487},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.392149955034256},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38138920068740845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3600650727748871},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1273024082183838}],"concepts":[{"id":"https://openalex.org/C40833965","wikidata":"https://www.wikidata.org/wiki/Q6901438","display_name":"Monochromatic color","level":2,"score":0.6820703744888306},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6015768647193909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5844272971153259},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5673460960388184},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.533621072769165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4397440552711487},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.392149955034256},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38138920068740845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3600650727748871},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1273024082183838},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/icassp.1981.1171113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1981.1171113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1996645290","https://openalex.org/W2105572516","https://openalex.org/W2144412213","https://openalex.org/W2171054140"],"related_works":["https://openalex.org/W2509614667","https://openalex.org/W2963293152","https://openalex.org/W4302199713","https://openalex.org/W4282026465","https://openalex.org/W2626027010","https://openalex.org/W2963562790","https://openalex.org/W2909469610","https://openalex.org/W2755006503","https://openalex.org/W1629841509","https://openalex.org/W1547276641"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,16,28,35,47,53],"recursive":[4],"image":[5],"enhancement":[6,58],"algorithm":[7,22,59],"based":[8],"on":[9],"two-demensional":[10],"(2-D)":[11],"sequential":[12],"suboptimal":[13,55],"estimation":[14,49],"using":[15],"spatially":[17],"varying":[18],"Markov":[19],"model.":[20],"An":[21],"for":[23],"identifying":[24],"the":[25],"parameters":[26],"of":[27,30],"class":[29],"monochromatic":[31],"images":[32,64],"modeled":[33],"by":[34],"nonsymmetric":[36],"half-plane":[37],"(NSHP)":[38],"model":[39],"is":[40,60],"derived":[41],"and":[42],"used":[43],"in":[44],"conjunction":[45],"with":[46],"simple":[48],"scheme":[50],"to":[51,62,65],"obtain":[52],"locally":[54],"enhancer.":[56],"The":[57],"applied":[61],"several":[63],"test":[66],"its":[67],"validity.":[68]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}