{"id":"https://openalex.org/W2244279490","doi":"https://doi.org/10.1109/dicta.2015.7371272","title":"Improved Impulse Noise Removal with Generalized Median Filter","display_name":"Improved Impulse Noise Removal with Generalized Median Filter","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2244279490","doi":"https://doi.org/10.1109/dicta.2015.7371272","mag":"2244279490"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2015.7371272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2015.7371272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5004852178","display_name":"Duc-Son Pham","orcid":"https://orcid.org/0000-0002-4006-7803"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Duc-Son Pham","raw_affiliation_strings":["Department of Computing, Curtin University Perth, Western Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Curtin University Perth, Western Australia","institution_ids":["https://openalex.org/I205640436"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5004852178"],"corresponding_institution_ids":["https://openalex.org/I205640436"],"apc_list":null,"apc_paid":null,"fwci":0.1872,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60407955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"673","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"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":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9991000294685364,"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":0.9987000226974487,"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/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.8475682735443115},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.7859858274459839},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.759606122970581},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6436115503311157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5800970196723938},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5105336904525757},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.46729567646980286},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.46459078788757324},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44234806299209595},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.433157742023468},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4247603118419647},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3863735795021057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3344629406929016},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2580629885196686},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.11193013191223145},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07374313473701477}],"concepts":[{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.8475682735443115},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.7859858274459839},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.759606122970581},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6436115503311157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5800970196723938},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5105336904525757},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.46729567646980286},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.46459078788757324},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44234806299209595},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.433157742023468},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4247603118419647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3863735795021057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3344629406929016},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2580629885196686},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.11193013191223145},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07374313473701477},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2015.7371272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2015.7371272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:espace.curtin.edu.au:20.500.11937/45347","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11937/45347","pdf_url":null,"source":{"id":"https://openalex.org/S4306401790","display_name":"eSpace (Curtin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205640436","host_organization_name":"Curtin University","host_organization_lineage":["https://openalex.org/I205640436"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1485646834","https://openalex.org/W1974306404","https://openalex.org/W2021586009","https://openalex.org/W2033603511","https://openalex.org/W2044565797","https://openalex.org/W2045983409","https://openalex.org/W2055589702","https://openalex.org/W2100563391","https://openalex.org/W2107500316","https://openalex.org/W2112907544","https://openalex.org/W2114655607","https://openalex.org/W2118292451","https://openalex.org/W2122374500","https://openalex.org/W2127078478","https://openalex.org/W2142781271","https://openalex.org/W2143373691","https://openalex.org/W2145585646","https://openalex.org/W2145962650","https://openalex.org/W2148358298","https://openalex.org/W2157181469","https://openalex.org/W2296319761","https://openalex.org/W2489822048","https://openalex.org/W2532370105","https://openalex.org/W3104783042","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W2953655071","https://openalex.org/W2121479027","https://openalex.org/W2364780020","https://openalex.org/W2082346846","https://openalex.org/W1978900443","https://openalex.org/W2415066633","https://openalex.org/W1787910866","https://openalex.org/W2358185860","https://openalex.org/W2138845483","https://openalex.org/W2811019791"],"abstract_inverted_index":{"The":[0],"median":[1,73,102],"filter":[2,103],"is":[3,27,76],"widely":[4],"used":[5],"for":[6,98],"removing":[7],"impulse":[8,52],"noise":[9,25,53,66,91],"in":[10,84,108],"images":[11,111],"due":[12],"to":[13,40,59],"its":[14,106],"good":[15],"denoising":[16],"property":[17],"whilst":[18],"maintaining":[19],"reasonably":[20],"edge":[21,43],"preservation.":[22],"When":[23],"the":[24,99],"level":[26],"large,":[28],"it":[29],"can":[30],"be":[31],"further":[32],"improved":[33],"by":[34],"combining":[35],"with":[36,62,113,118],"a":[37,50,70,77],"detail-preserving":[38,119],"regularization":[39,120],"ensure":[41],"satisfactory":[42],"recovery.":[44],"We":[45,68,93],"propose":[46],"an":[47,89],"improvement":[48],"over":[49,121],"state-of-the-art":[51],"removal":[54],"method":[55],"which":[56,75],"was":[57],"demonstrated":[58],"cope":[60],"well":[61],"very":[63],"high":[64],"impulsive":[65],"levels.":[67],"introduce":[69],"novel":[71],"generalized":[72,101],"filter,":[74],"new":[78],"perspective":[79],"based":[80],"on":[81],"latest":[82],"advances":[83],"matrix":[85],"decomposition":[86],"and":[87,104],"allows":[88],"explicit":[90],"modelling.":[92],"provide":[94],"comprehensive":[95],"theoretical":[96],"justifications":[97],"proposed":[100],"demonstrate":[105],"effectiveness":[107],"recovering":[109],"noisy":[110],"tempered":[112],"salt-and-pepper":[114],"corruptions":[115],"when":[116],"combined":[117],"other":[122],"relevant":[123],"alternatives.":[124]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
