{"id":"https://openalex.org/W2091281459","doi":"https://doi.org/10.1109/ipas.2014.7043258","title":"Ultrasound image denoising using a combination of bilateral filtering and stationary wavelet transform","display_name":"Ultrasound image denoising using a combination of bilateral filtering and stationary wavelet transform","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2091281459","doi":"https://doi.org/10.1109/ipas.2014.7043258","mag":"2091281459"},"language":"en","primary_location":{"id":"doi:10.1109/ipas.2014.7043258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas.2014.7043258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Image Processing, Applications and Systems Conference","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/A5013845346","display_name":"Olfa Ben Moussa","orcid":"https://orcid.org/0000-0002-0521-9381"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]},{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Moussa Olfa","raw_affiliation_strings":["Ecole nationale d'ing\u00e9nieurs de Tunis (ENIT), Laboratoire de Biophysique et de Technologies Medicales, Tunis, Tunisie","Universit\u00e9 de Tunis El Manar, \u00c9cole nationale d'ing\u00e9nieurs de Tunis (ENIT), Laboratoire de Biophysique et de Technologies Medicales, 1006, Tunisie"],"affiliations":[{"raw_affiliation_string":"Ecole nationale d'ing\u00e9nieurs de Tunis (ENIT), Laboratoire de Biophysique et de Technologies Medicales, Tunis, Tunisie","institution_ids":[]},{"raw_affiliation_string":"Universit\u00e9 de Tunis El Manar, \u00c9cole nationale d'ing\u00e9nieurs de Tunis (ENIT), Laboratoire de Biophysique et de Technologies Medicales, 1006, Tunisie","institution_ids":["https://openalex.org/I108714496","https://openalex.org/I63596082"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087117994","display_name":"Nawr\u00e8s Khlifa","orcid":"https://orcid.org/0000-0001-6043-6410"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]},{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Khlifa Nawres","raw_affiliation_strings":["Ecole nationale d'ing\u00e9nieurs de Tunis (ENIT), Laboratoire de Biophysique et de Technologies Medicales, Tunis, Tunisie","Universit\u00e9 de Tunis El Manar, \u00c9cole nationale d'ing\u00e9nieurs de Tunis (ENIT), Laboratoire de Biophysique et de Technologies Medicales, 1006, Tunisie"],"affiliations":[{"raw_affiliation_string":"Ecole nationale d'ing\u00e9nieurs de Tunis (ENIT), Laboratoire de Biophysique et de Technologies Medicales, Tunis, Tunisie","institution_ids":[]},{"raw_affiliation_string":"Universit\u00e9 de Tunis El Manar, \u00c9cole nationale d'ing\u00e9nieurs de Tunis (ENIT), Laboratoire de Biophysique et de Technologies Medicales, 1006, Tunisie","institution_ids":["https://openalex.org/I108714496","https://openalex.org/I63596082"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013845346"],"corresponding_institution_ids":["https://openalex.org/I108714496","https://openalex.org/I63596082"],"apc_list":null,"apc_paid":null,"fwci":2.1949,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90573204,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9952999949455261,"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":0.9902999997138977,"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/speckle-noise","display_name":"Speckle noise","score":0.7725938558578491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7653015851974487},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6815837621688843},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6761385202407837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6625983715057373},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6430007815361023},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5969265699386597},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5568084120750427},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5360453724861145},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5237065553665161},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.47172871232032776},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.46682944893836975},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.45354145765304565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4381329119205475},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.42224428057670593},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.4126785397529602},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3228042721748352},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28113800287246704},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.23060926795005798}],"concepts":[{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.7725938558578491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7653015851974487},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6815837621688843},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6761385202407837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6625983715057373},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6430007815361023},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5969265699386597},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5568084120750427},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5360453724861145},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5237065553665161},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.47172871232032776},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.46682944893836975},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.45354145765304565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4381329119205475},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.42224428057670593},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.4126785397529602},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3228042721748352},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28113800287246704},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.23060926795005798},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipas.2014.7043258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas.2014.7043258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Image Processing, Applications and Systems Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1981239466","https://openalex.org/W2004928853","https://openalex.org/W2053305168","https://openalex.org/W2053691921","https://openalex.org/W2083913720","https://openalex.org/W2099244020","https://openalex.org/W2100925004","https://openalex.org/W2103504761","https://openalex.org/W2109863423","https://openalex.org/W2125527601","https://openalex.org/W2129623024","https://openalex.org/W2130094715","https://openalex.org/W2133665775","https://openalex.org/W2136473316","https://openalex.org/W2146842127","https://openalex.org/W2150134853","https://openalex.org/W2155996168","https://openalex.org/W2156851337","https://openalex.org/W2159424074","https://openalex.org/W2168896212","https://openalex.org/W2331109897","https://openalex.org/W2460278181","https://openalex.org/W4255521522","https://openalex.org/W4285719527","https://openalex.org/W6676598158","https://openalex.org/W6718178415"],"related_works":["https://openalex.org/W1699622673","https://openalex.org/W233850645","https://openalex.org/W2082304850","https://openalex.org/W1998728244","https://openalex.org/W2511423457","https://openalex.org/W2102253512","https://openalex.org/W2086035127","https://openalex.org/W2536791468","https://openalex.org/W2378657331","https://openalex.org/W4308564914"],"abstract_inverted_index":{"Medical":[0],"image":[1,8,53],"degradation":[2],"has":[3],"a":[4,38,51,78,84],"significant":[5],"impact":[6],"on":[7,57],"quality,":[9],"and":[10,15,63,94,105],"thus":[11],"affects":[12],"human":[13],"interpretation":[14],"the":[16,58,75,92,95,98],"accuracy":[17,96],"of":[18,60,70,77,97],"computer-assisted":[19],"diagnostic":[20],"techniques.":[21],"Unfortunately,":[22],"Ultrasound":[23],"images":[24],"are":[25],"mainly":[26],"degraded":[27],"by":[28],"an":[29],"intrinsic":[30],"noise":[31,103],"called":[32],"speckle.":[33],"Therefore,":[34],"despekle":[35],"filtering":[36],"is":[37,73],"critical":[39],"preprocessing":[40],"step":[41],"in":[42,74,101],"medical":[43,109],"ultrasound":[44,110],"images.":[45,111],"In":[46],"this":[47,71],"paper":[48,72],"we":[49],"propose":[50],"new":[52,79,85],"denoising":[54],"technique":[55],"based":[56],"combination":[59],"bilateral":[61,87],"filter":[62,100],"stationary":[64],"wavelet":[65],"transform.":[66],"The":[67],"main":[68],"contribution":[69],"use":[76],"neighborhood":[80],"relationship":[81],"to":[82],"develop":[83],"multiscale":[86],"filter.":[88],"Experimental":[89],"results":[90],"validated":[91],"effectiveness":[93],"proposed":[99],"speckle":[102],"reduction":[104],"edge":[106],"preservation":[107],"for":[108]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}