{"id":"https://openalex.org/W3207504448","doi":"https://doi.org/10.1080/21681163.2021.1987331","title":"Building a smart dynamic kernel with compact support based on deep neural network for efficient X-ray image denoising","display_name":"Building a smart dynamic kernel with compact support based on deep neural network for efficient X-ray image denoising","publication_year":2021,"publication_date":"2021-10-11","ids":{"openalex":"https://openalex.org/W3207504448","doi":"https://doi.org/10.1080/21681163.2021.1987331","mag":"3207504448"},"language":"en","primary_location":{"id":"doi:10.1080/21681163.2021.1987331","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2021.1987331","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5042796934","display_name":"Zouhair Mbarki","orcid":"https://orcid.org/0000-0003-1799-5182"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zouhair Mbarki","raw_affiliation_strings":["RIFTSI Research Laboratory, ENSIT, University of Tunis, Tunis, Tunisia"],"raw_orcid":"https://orcid.org/0000-0003-1799-5182","affiliations":[{"raw_affiliation_string":"RIFTSI Research Laboratory, ENSIT, University of Tunis, Tunis, Tunisia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011988746","display_name":"Amine Ben Slama","orcid":"https://orcid.org/0000-0002-3828-3654"},"institutions":[{"id":"https://openalex.org/I4210166206","display_name":"Medical Technologies (Czechia)","ror":"https://ror.org/05rgwjj62","country_code":"CZ","type":"company","lineage":["https://openalex.org/I4210166206"]},{"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":["CZ","TN"],"is_corresponding":false,"raw_author_name":"Amine Ben Slama","raw_affiliation_strings":["Laboratory of Biophysics and Medical Technologies, LRBTM, ISTMT, University of Tunis El Manar"],"raw_orcid":"https://orcid.org/0000-0002-3828-3654","affiliations":[{"raw_affiliation_string":"Laboratory of Biophysics and Medical Technologies, LRBTM, ISTMT, University of Tunis El Manar","institution_ids":["https://openalex.org/I4210166206","https://openalex.org/I63596082"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065753894","display_name":"Hassene Seddik","orcid":"https://orcid.org/0000-0003-0848-8285"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hassene Seddik","raw_affiliation_strings":["RIFTSI Research Laboratory, ENSIT, University of Tunis, Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIFTSI Research Laboratory, ENSIT, University of Tunis, Tunis, Tunisia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102241044","display_name":"H\u00e9di Trabelsi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166206","display_name":"Medical Technologies (Czechia)","ror":"https://ror.org/05rgwjj62","country_code":"CZ","type":"company","lineage":["https://openalex.org/I4210166206"]},{"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":["CZ","TN"],"is_corresponding":false,"raw_author_name":"Hedi Trabelsi","raw_affiliation_strings":["Laboratory of Biophysics and Medical Technologies, LRBTM, ISTMT, University of Tunis El Manar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Biophysics and Medical Technologies, LRBTM, ISTMT, University of Tunis El Manar","institution_ids":["https://openalex.org/I4210166206","https://openalex.org/I63596082"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042796934"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0971,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41202799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":"2","first_page":"132","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9988999962806702,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9889000058174133,"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/kernel","display_name":"Kernel (algebra)","score":0.7281551957130432},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5208104848861694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5143624544143677},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5054769515991211},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5034417510032654},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4919693171977997},{"id":"https://openalex.org/keywords/gaussian-blur","display_name":"Gaussian blur","score":0.4701326787471771},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4591483771800995},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.45505717396736145},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43621155619621277},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43606239557266235},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4180886745452881},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38646581768989563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36819005012512207},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.29571038484573364},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28469136357307434},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2832796573638916},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.2157701849937439}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7281551957130432},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5208104848861694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5143624544143677},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5054769515991211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5034417510032654},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4919693171977997},{"id":"https://openalex.org/C104317376","wikidata":"https://www.wikidata.org/wiki/Q1894545","display_name":"Gaussian blur","level":5,"score":0.4701326787471771},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4591483771800995},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.45505717396736145},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43621155619621277},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43606239557266235},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4180886745452881},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38646581768989563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36819005012512207},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29571038484573364},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28469136357307434},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2832796573638916},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2157701849937439},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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:10.1080/21681163.2021.1987331","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2021.1987331","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1946142070","https://openalex.org/W1978153353","https://openalex.org/W2129413026","https://openalex.org/W2170391517","https://openalex.org/W2558598529","https://openalex.org/W2621256437","https://openalex.org/W2773293197","https://openalex.org/W2939652723","https://openalex.org/W2943900171","https://openalex.org/W2948822680","https://openalex.org/W2962952170","https://openalex.org/W2965708508","https://openalex.org/W3045407755"],"related_works":["https://openalex.org/W1970319972","https://openalex.org/W4295035285","https://openalex.org/W2019890371","https://openalex.org/W4200022986","https://openalex.org/W2963637926","https://openalex.org/W4220715471","https://openalex.org/W3091916500","https://openalex.org/W3130734945","https://openalex.org/W2968444945","https://openalex.org/W2048140462"],"abstract_inverted_index":{"Gaussian":[0,30,42],"filtering":[1,171,235],"is":[2,89,112,118,122,173,186],"a":[3,56,61,92,99,147,158,213],"successful":[4],"computer":[5],"operation":[6],"vision":[7],"to":[8,50,58,135,156,189,219],"reduce":[9],"noise":[10],"and":[11,44,68,95,124,126,178,192,211,242],"calculate":[12],"the":[13,29,40,45,51,75,85,109,115,120,136,170,197,203,208,234,239,245,265],"gradient":[14],"intensity":[15],"change":[16],"of":[17,36,80,139,196,264],"an":[18],"image.":[19,198],"However,":[20],"it\u2019s":[21],"well":[22],"known":[23],"that":[24,84,101,202],"in":[25,74,97,169,175,233],"scale":[26,93,103,110,116],"space":[27],"context,":[28],"kernel":[31,63,88,149,160,205,210],"has":[32],"some":[33],"drawbacks,":[34],"loss":[35],"information":[37],"caused":[38],"by":[39,91,180],"unavoidable":[41],"truncation":[43],"prohibitive":[46],"processing":[47],"time":[48,177],"due":[49],"mask":[52],"size.":[53],"To":[54],"give":[55],"solution":[57,214],"both":[59],"problems,":[60],"new":[62,86],"family":[64,87],"with":[65,161,244],"compact":[66,162],"support":[67,163],"its":[69,216,220],"separable":[70],"version":[71],"were":[72],"presented":[73],"literature.":[76],"The":[77,166,184],"theoretical":[78],"study":[79],"these":[81,131,140],"kernels":[82],"shows":[83],"parameterised":[90],"parameter":[94,111,117,167],"generated":[96],"such":[98],"way":[100],"fine":[102],"structures":[104],"are":[105,128,133],"successively":[106],"suppressed":[107],"when":[108],"increased.":[113],"Moreover,":[114],"increased,":[119],"image":[121],"blurred":[123],"details":[125],"border":[127],"removed.":[129],"All":[130],"disadvantages":[132],"related":[134,218],"static":[137,221],"nature":[138],"kernels.":[141],"In":[142],"this":[143],"paper,":[144],"we":[145,255],"propose":[146],"smart":[148],"based":[150],"on":[151],"deep":[152,181],"neural":[153,182],"networks":[154],"(dnn)":[155],"create":[157],"dynamic":[159],"called":[164],"DSKCS.":[165],"involved":[168],"process":[172],"calculated":[174,226],"real":[176],"supervised":[179],"networks.":[183],"filter":[185],"continuously":[187],"variable":[188],"detect,":[190],"clean":[191],"avoid":[193],"noisy":[194],"areas":[195],"Extensive":[199],"experiments":[200],"show":[201],"proposed":[204],"can":[206],"improve":[207],"classic":[209],"presents":[212],"for":[215,260],"limitations":[217],"nature.":[222],"Furthermore,":[223],"different":[224],"metrics":[225,246],"illustrate":[227],"our":[228],"approach":[229],"efficiency.":[230],"As":[231],"stated":[232],"performance,":[236],"which":[237],"reveals":[238],"highest":[240],"PSNR":[241],"NCC":[243,251],"results":[247,267],"(PSNR":[248],"=":[249,252],"32.18,":[250],"0.95).":[253],"Also,":[254],"recorded":[256],"more":[257],"than":[258],"0.89":[259],"area":[261],"under":[262],"curves":[263],"classification":[266],"using":[268],"DBN-DNN":[269],"technique.":[270]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}