{"id":"https://openalex.org/W2157618036","doi":"https://doi.org/10.1109/ijcnn.2004.1379912","title":"Blotch removal in degraded digital video using independent component analysis","display_name":"Blotch removal in degraded digital video using independent component analysis","publication_year":2005,"publication_date":"2005-02-22","ids":{"openalex":"https://openalex.org/W2157618036","doi":"https://doi.org/10.1109/ijcnn.2004.1379912","mag":"2157618036"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1379912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1379912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","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/A5085527072","display_name":"Michele Ceccarelli","orcid":"https://orcid.org/0000-0002-4702-6617"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"M. Ceccarelli","raw_affiliation_strings":["RCOST, University of Sannio, Benevento, Italy"],"affiliations":[{"raw_affiliation_string":"RCOST, University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091756907","display_name":"Alfredo Petrosino","orcid":"https://orcid.org/0000-0002-8736-1997"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Petrosino","raw_affiliation_strings":["ICAR Section of Naples, National Research Council, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"ICAR Section of Naples, National Research Council, Naples, Italy","institution_ids":["https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085527072"],"corresponding_institution_ids":["https://openalex.org/I16337185"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2434063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"100","issue":null,"first_page":"267","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9995999932289124,"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":0.9975000023841858,"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/independent-component-analysis","display_name":"Independent component analysis","score":0.6633065342903137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6415045857429504},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6386871933937073},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6031648516654968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5959753394126892},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5667878985404968},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5378503203392029},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5360742807388306},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5055446624755859},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4533029794692993},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4428619146347046},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4397217631340027},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.42628124356269836},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.42225638031959534},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4089791774749756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2779567837715149},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12654665112495422}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.6633065342903137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6415045857429504},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6386871933937073},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6031648516654968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5959753394126892},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5667878985404968},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5378503203392029},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5360742807388306},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5055446624755859},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4533029794692993},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4428619146347046},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4397217631340027},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.42628124356269836},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.42225638031959534},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4089791774749756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2779567837715149},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12654665112495422},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2004.1379912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1379912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","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":32,"referenced_works":["https://openalex.org/W1494190032","https://openalex.org/W1547225365","https://openalex.org/W1556122023","https://openalex.org/W1952030840","https://openalex.org/W1969916095","https://openalex.org/W2019502123","https://openalex.org/W2088802095","https://openalex.org/W2097787789","https://openalex.org/W2098204186","https://openalex.org/W2099599934","https://openalex.org/W2101268763","https://openalex.org/W2101322670","https://openalex.org/W2102373785","https://openalex.org/W2108425343","https://openalex.org/W2109898560","https://openalex.org/W2112312388","https://openalex.org/W2122424808","https://openalex.org/W2123649031","https://openalex.org/W2124433161","https://openalex.org/W2126016605","https://openalex.org/W2127447014","https://openalex.org/W2131221812","https://openalex.org/W2139926101","https://openalex.org/W2148404241","https://openalex.org/W2150673716","https://openalex.org/W2151315742","https://openalex.org/W2160704933","https://openalex.org/W2171282342","https://openalex.org/W2295936755","https://openalex.org/W4205778870","https://openalex.org/W6674794381","https://openalex.org/W7048010392"],"related_works":["https://openalex.org/W1579157894","https://openalex.org/W1967654336","https://openalex.org/W2060632806","https://openalex.org/W1530267862","https://openalex.org/W2995690499","https://openalex.org/W1494405360","https://openalex.org/W2050955821","https://openalex.org/W2153529351","https://openalex.org/W2040149295","https://openalex.org/W2016848112"],"abstract_inverted_index":{"Blotchy":[0],"noise":[1,24],"is":[2,48,55],"one":[3],"of":[4,29,42,45,52],"the":[5,46,53],"most":[6],"common":[7],"and":[8,36,57,66],"visually":[9],"annoying":[10],"noises":[11],"noticed":[12],"in":[13],"digitized":[14],"motion":[15],"picture":[16],"films.":[17],"This":[18],"work":[19],"investigates":[20],"a":[21],"three-stage":[22],"blotchy":[23],"reduction":[25],"scheme":[26,47,54],"combining":[27],"efforts":[28],"temporal":[30],"median":[31],"filtering,":[32],"ICA":[33],"unsupervised":[34],"learning":[35],"deflation":[37],"after":[38],"motion/compensation":[39],"estimation.":[40],"Implementation":[41],"each":[43],"module":[44],"discussed;":[49],"finally":[50],"performance":[51],"tested":[56],"compared":[58],"with":[59],"other":[60],"methods":[61],"over":[62],"real":[63],"short":[64],"sequences":[65],"results":[67],"are":[68],"discussed.":[69]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}