{"id":"https://openalex.org/W4401378014","doi":"https://doi.org/10.33022/ijcs.v13i4.4209","title":"Review of Hybrid Denoising Approaches in Face Recognition","display_name":"Review of Hybrid Denoising Approaches in Face Recognition","publication_year":2024,"publication_date":"2024-07-25","ids":{"openalex":"https://openalex.org/W4401378014","doi":"https://doi.org/10.33022/ijcs.v13i4.4209"},"language":"en","primary_location":{"id":"doi:10.33022/ijcs.v13i4.4209","doi":"https://doi.org/10.33022/ijcs.v13i4.4209","is_oa":true,"landing_page_url":"https://doi.org/10.33022/ijcs.v13i4.4209","pdf_url":null,"source":{"id":"https://openalex.org/S4210234583","display_name":"Indonesian Journal of Computer Science","issn_l":"2302-4364","issn":["2302-4364","2549-7286"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405275487","host_organization_name":"Universitas Metamedia","host_organization_lineage":["https://openalex.org/I4405275487"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Indonesian Journal of Computer Science","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.33022/ijcs.v13i4.4209","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020243793","display_name":"Hewa Majeed Zangana","orcid":"https://orcid.org/0000-0001-7909-254X","observed_orcids":["https://orcid.org/0000-0001-7909-254X"]},"institutions":[{"id":"https://openalex.org/I4210124331","display_name":"Duhok Polytechnic University","ror":"https://ror.org/024kjbt21","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4210124331"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Hewa Majeed Zangana","raw_affiliation_strings":["Duhok Polytechnic University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duhok Polytechnic University,","institution_ids":["https://openalex.org/I4210124331"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113856390","display_name":"Firas Mahmood Mustafa","orcid":"https://orcid.org/0000-0002-8757-5303","observed_orcids":["https://orcid.org/0000-0002-8757-5303"]},"institutions":[{"id":"https://openalex.org/I4210124331","display_name":"Duhok Polytechnic University","ror":"https://ror.org/024kjbt21","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4210124331"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Firas Mahmood Mustafa","raw_affiliation_strings":["Chemical Engineering Dept., Technical College of Engineering, Duhok Polytechnic University, Duhok, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chemical Engineering Dept., Technical College of Engineering, Duhok Polytechnic University, Duhok, Iraq","institution_ids":["https://openalex.org/I4210124331"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210124331"],"apc_list":{"value":100,"currency":"USD","value_usd":100},"apc_paid":{"value":100,"currency":"USD","value_usd":100},"fwci":2.1702,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89190269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"13","issue":"4","first_page":null,"last_page":null},"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":9.999999747378752e-05,"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":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-denoising","display_name":"image denoising","score":0.9990000128746033},{"id":"https://openalex.org/keywords/face-recognition","display_name":"face recognition","score":0.9750000238418579},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9810000061988831},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"wavelet transform","score":0.9670000076293945},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"noise reduction","score":0.47099998593330383},{"id":"https://openalex.org/keywords/cybersecurity","display_name":"cybersecurity","score":0.5049999952316284},{"id":"https://openalex.org/keywords/cybercrime-prevention","display_name":"cybercrime prevention","score":0.9990000128746033}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7638830542564392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390310168266296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.607939600944519},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5394390821456909},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5314929485321045},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5228819847106934},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.5042141675949097},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.49518194794654846},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.454262912273407},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4441903829574585},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44087308645248413},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43351393938064575},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32813721895217896},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.33022/ijcs.v13i4.4209","doi":"https://doi.org/10.33022/ijcs.v13i4.4209","is_oa":true,"landing_page_url":"https://doi.org/10.33022/ijcs.v13i4.4209","pdf_url":null,"source":{"id":"https://openalex.org/S4210234583","display_name":"Indonesian Journal of Computer Science","issn_l":"2302-4364","issn":["2302-4364","2549-7286"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405275487","host_organization_name":"Universitas Metamedia","host_organization_lineage":["https://openalex.org/I4405275487"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Indonesian Journal of Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.33022/ijcs.v13i4.4209","doi":"https://doi.org/10.33022/ijcs.v13i4.4209","is_oa":true,"landing_page_url":"https://doi.org/10.33022/ijcs.v13i4.4209","pdf_url":null,"source":{"id":"https://openalex.org/S4210234583","display_name":"Indonesian Journal of Computer Science","issn_l":"2302-4364","issn":["2302-4364","2549-7286"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405275487","host_organization_name":"Universitas Metamedia","host_organization_lineage":["https://openalex.org/I4405275487"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Indonesian Journal of Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W2425059356","https://openalex.org/W2475926550","https://openalex.org/W2508457857","https://openalex.org/W2586244197","https://openalex.org/W2621235041","https://openalex.org/W2626075610","https://openalex.org/W2766204663","https://openalex.org/W2795760368","https://openalex.org/W2804028127","https://openalex.org/W2912189964","https://openalex.org/W2921182884","https://openalex.org/W2922243284","https://openalex.org/W2923844663","https://openalex.org/W2940805846","https://openalex.org/W2956015785","https://openalex.org/W2970280802","https://openalex.org/W2971719842","https://openalex.org/W2972158684","https://openalex.org/W2980876396","https://openalex.org/W2994646145","https://openalex.org/W3000255543","https://openalex.org/W3002134865","https://openalex.org/W3015520332","https://openalex.org/W3037582100","https://openalex.org/W3047011367","https://openalex.org/W3047520925","https://openalex.org/W3090682168","https://openalex.org/W3091918399","https://openalex.org/W3092803845","https://openalex.org/W3094069740","https://openalex.org/W3097623379","https://openalex.org/W3110800241","https://openalex.org/W3118799843","https://openalex.org/W3137650873","https://openalex.org/W3159039389","https://openalex.org/W3167934914","https://openalex.org/W3169893408","https://openalex.org/W3174829522","https://openalex.org/W3198662899","https://openalex.org/W3209199397","https://openalex.org/W3212506051","https://openalex.org/W4200315381","https://openalex.org/W4210581126","https://openalex.org/W4210678434","https://openalex.org/W4220666489","https://openalex.org/W4220894044","https://openalex.org/W4225855981","https://openalex.org/W4226149503","https://openalex.org/W4281394233","https://openalex.org/W4283456580","https://openalex.org/W4296551003","https://openalex.org/W4303981321","https://openalex.org/W4312447393","https://openalex.org/W4313682942","https://openalex.org/W4317383057","https://openalex.org/W4318688179","https://openalex.org/W4318822211","https://openalex.org/W4362467308","https://openalex.org/W4377007732","https://openalex.org/W4382045866","https://openalex.org/W4385812995","https://openalex.org/W4387677452","https://openalex.org/W4389002535","https://openalex.org/W4390818107","https://openalex.org/W4391730854","https://openalex.org/W4392783238"],"related_works":["https://openalex.org/W6888904572","https://openalex.org/W2184689488","https://openalex.org/W1976484031","https://openalex.org/W7141941143","https://openalex.org/W4390876649","https://openalex.org/W4409559231","https://openalex.org/W2550063017","https://openalex.org/W7099188608","https://openalex.org/W4416404194","https://openalex.org/W3152234146"],"abstract_inverted_index":{"Statistically,":[0],"image":[1,10,50,120,172],"denoising":[2,51,121],"is":[3,17,29,147],"one":[4],"of":[5,9,32,75,102,117,138],"the":[6,21,25,95,100,114,118,126,129,165],"key":[7],"pillars":[8],"processing":[11,67],"and":[12,40,87,142,157,168],"picture":[13],"acquisition,":[14],"which":[15,113],"also":[16],"utilized":[18],"to":[19,38,135,153,162],"clear":[20],"noisy":[22],"images.":[23],"Over":[24],"last":[26],"years,":[27],"there":[28],"an":[30],"increase":[31],"study":[33,46],"subjects":[34],"that":[35,150],"are":[36],"devoting":[37],"designing":[39],"making":[41],"noise":[42],"cancellation":[43],"methods.":[44,68],"This":[45,145],"reviews":[47],"all":[48],"major":[49],"techniques,":[52],"with":[53,106],"a":[54,72],"special":[55],"emphasis":[56],"on":[57,94],"integrated":[58],"deep":[59],"learning":[60],"approaches":[61],"as":[62,64,97,99],"well":[63,98],"traditional":[65],"signal":[66],"The":[69,90],"review":[70,146],"presents":[71],"broad":[73],"array":[74],"techniques":[76],"for":[77],"instance":[78],"convolutional":[79],"neural":[80],"networks":[81],"(CNNs),":[82],"wavelet":[83],"transforms,":[84],"hybrid":[85],"models,":[86],"their":[88,107],"emendations.":[89],"lecturer":[91],"will":[92],"focus":[93],"advantages,":[96],"disadvantages,":[101],"each":[103],"methodology":[104],"along":[105],"appropriateness":[108],"in":[109,140,149,170],"various":[110],"fields,":[111],"from":[112],"current":[115],"state":[116],"art":[119],"can":[122],"be":[123],"concluded.":[124],"On":[125],"other":[127],"hand,":[128],"paper":[130],"discusses":[131],"critical":[132],"barriers":[133],"leading":[134],"further":[136],"prospects":[137],"research":[139],"cybersecurity":[141],"cybercrime":[143],"prevention":[144],"important":[148],"it":[151],"aims":[152],"serve":[154],"researchers,":[155],"practitioners,":[156],"enthusiasts":[158],"who":[159],"would":[160],"like":[161],"peer":[163],"into":[164],"new":[166],"trends":[167],"developments":[169],"denoise":[171],"generation.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":6}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-08-07T00:00:00"}