{"id":"https://openalex.org/W2899466871","doi":"https://doi.org/10.1109/eit.2018.8500238","title":"Image De-Noising Through Symmetric, Bell-Shaped, and Centered Weighted Median Filters Based Subband Decomposition","display_name":"Image De-Noising Through Symmetric, Bell-Shaped, and Centered Weighted Median Filters Based Subband Decomposition","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2899466871","doi":"https://doi.org/10.1109/eit.2018.8500238","mag":"2899466871"},"language":"en","primary_location":{"id":"doi:10.1109/eit.2018.8500238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit.2018.8500238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","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/A5024976239","display_name":"Sirajul Salekin","orcid":null},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sirajul Salekin","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048285657","display_name":"Sos \u0421. Agaian","orcid":"https://orcid.org/0000-0003-4601-4507"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sos Agaian","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024798292","display_name":"Israt Jahan","orcid":"https://orcid.org/0000-0002-1696-2015"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Israt Jahan","raw_affiliation_strings":["Dept. of Computer Science and Operations Research, North Dakota State University, Fargo, ND, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Operations Research, North Dakota State University, Fargo, ND, USA","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059716670","display_name":"Sayeed Sajal","orcid":null},"institutions":[{"id":"https://openalex.org/I92063915","display_name":"Minot State University","ror":"https://ror.org/051j7cj03","country_code":"US","type":"education","lineage":["https://openalex.org/I92063915"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sayeed Z. Sajal","raw_affiliation_strings":["Dept. of Math and Computer Scinece, Minot State University, Minot, ND, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Math and Computer Scinece, Minot State University, Minot, ND, USA","institution_ids":["https://openalex.org/I92063915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12673144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"47","issue":null,"first_page":"0493","last_page":"0497"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.991599977016449,"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/noise-reduction","display_name":"Noise reduction","score":0.5505514144897461},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5498636960983276},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.541737973690033},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5128329396247864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.507869303226471},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.5058550834655762},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4839401841163635},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4766426980495453},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.4566878080368042},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.45356273651123047},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.4495401382446289},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43318843841552734},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.4292541444301605},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4223361909389496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41733571887016296},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32588309049606323},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30433499813079834},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30288299918174744},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.1528635025024414}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5505514144897461},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5498636960983276},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.541737973690033},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5128329396247864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.507869303226471},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.5058550834655762},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4839401841163635},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4766426980495453},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.4566878080368042},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.45356273651123047},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.4495401382446289},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43318843841552734},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.4292541444301605},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4223361909389496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41733571887016296},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32588309049606323},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30433499813079834},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30288299918174744},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.1528635025024414}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eit.2018.8500238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit.2018.8500238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","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":26,"referenced_works":["https://openalex.org/W191129667","https://openalex.org/W1533965134","https://openalex.org/W2013238116","https://openalex.org/W2029091038","https://openalex.org/W2057583272","https://openalex.org/W2075159344","https://openalex.org/W2079724595","https://openalex.org/W2082144929","https://openalex.org/W2099831875","https://openalex.org/W2105295206","https://openalex.org/W2110484854","https://openalex.org/W2114335971","https://openalex.org/W2115042459","https://openalex.org/W2120116103","https://openalex.org/W2123077040","https://openalex.org/W2131408363","https://openalex.org/W2142085250","https://openalex.org/W2146842127","https://openalex.org/W2147985697","https://openalex.org/W2161286395","https://openalex.org/W3042152707","https://openalex.org/W4255521522","https://openalex.org/W6657890290","https://openalex.org/W6680956437","https://openalex.org/W6683940461","https://openalex.org/W6780258811"],"related_works":["https://openalex.org/W2364780020","https://openalex.org/W2364070087","https://openalex.org/W2351699817","https://openalex.org/W2380577081","https://openalex.org/W2053397997","https://openalex.org/W2073083461","https://openalex.org/W3009218516","https://openalex.org/W2959213545","https://openalex.org/W1969928481","https://openalex.org/W2565116285"],"abstract_inverted_index":{"Here,":[0],"a":[1,74],"novel":[2],"image":[3,14,124],"denoising":[4,158],"algorithm":[5,167],"that":[6,35,70,113,164],"eliminates":[7],"different":[8,133],"type":[9],"of":[10,23,81,108,128,135],"noise":[11,120,175],"from":[12],"an":[13],"using":[15,26,152],"median":[16,27],"filter":[17],"based":[18],"subband":[19,54],"decomposition.":[20],"The":[21,160],"benefit":[22],"sub-band":[24],"decomposition":[25,32,172],"transform":[28],"over":[29],"the":[30,36,47,52,78,86,90,109,114,119,136,165,169],"wavelet":[31,157,171],"method":[33,116,173],"is":[34],"nonlinear":[37],"filters":[38,117],"are":[39,144],"not":[40],"subject":[41],"to":[42,99],"Gibb's":[43],"phenomenon":[44],"which":[45],"causes":[46],"ringing":[48],"effects":[49],"associated":[50],"with":[51,61,132,155],"linear":[53],"methods":[55],"and":[56,84,93,139,141,150],"they":[57],"can":[58],"be":[59],"computed":[60],"low":[62],"computational":[63],"complexity.":[64],"It":[65],"has":[66],"been":[67],"experimentally":[68],"observed":[69],"noisy":[71,129],"coefficients":[72,111],"have":[73],"higher":[75],"value":[76,87],"at":[77],"first":[79],"scale":[80,92],"multiresolution":[82,110],"analysis":[83],"later":[85],"decreases":[88],"in":[89],"subsequent":[91],"so":[94],"on.":[95],"Hence,":[96],"we":[97],"proposed":[98,166],"apply":[100],"subsequently":[101],"decreasing":[102],"threshold":[103],"on":[104],"every":[105],"single":[106],"step":[107],"such":[112],"de-noising":[115],"out":[118],"while":[121],"preserving":[122],"good":[123],"quality.":[125],"A":[126],"number":[127],"images":[130],"contaminated":[131],"combinations":[134],"Gaussian,":[137],"Speckle":[138],"Salt":[140],"pepper":[142],"noises":[143],"denoised":[145],"by":[146],"this":[147],"new":[148],"approach":[149],"compared":[151],"SNR":[153],"measure":[154],"other":[156],"algorithms.":[159],"experimental":[161],"results":[162],"validate":[163],"outperforms":[168],"traditional":[170],"for":[174],"removal.":[176]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
