{"id":"https://openalex.org/W7111069293","doi":"https://doi.org/10.26555/jiteki.v11i3.31200","title":"Color Image Denoising Methods: A Laconic Review","display_name":"Color Image Denoising Methods: A Laconic Review","publication_year":2025,"publication_date":"2025-10-31","ids":{"openalex":"https://openalex.org/W7111069293","doi":"https://doi.org/10.26555/jiteki.v11i3.31200"},"language":"en","primary_location":{"id":"pmh:oai:ojs.journal.uad.ac.id:article/31200","doi":"https://doi.org/10.26555/jiteki.v11i3.31200","is_oa":true,"landing_page_url":"https://journal.uad.ac.id/index.php/JITEKI/article/view/31200","pdf_url":null,"source":{"id":"https://openalex.org/S4306401036","display_name":"Optimum: Journal of Economics and Development (University of Ahmad Dahlan Yogyakarta)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2608206482","host_organization_name":"Universitas Ahmad Dahlan","host_organization_lineage":["https://openalex.org/I2608206482"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2338-3070","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://journal.uad.ac.id/index.php/JITEKI/article/view/31200","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Younis, Zainab","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Younis, Zainab","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Rahim, Mohd Shafry Mohd","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahim, Mohd Shafry Mohd","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Mohamed, Farhan Bin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed, Farhan Bin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.37569796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.9994999766349792,"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":0.9994999766349792,"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":0.00019999999494757503,"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/T11165","display_name":"Image and Video Quality Assessment","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/color-image-denoising","display_name":"color image denoising","score":1.0},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"noise reduction","score":0.6480000019073486},{"id":"https://openalex.org/keywords/edge-preservation","display_name":"edge preservation","score":0.6959999799728394},{"id":"https://openalex.org/keywords/total-variation","display_name":"total variation","score":0.45500001311302185},{"id":"https://openalex.org/keywords/split-bregman-method","display_name":"split Bregman method","score":0.8889999985694885},{"id":"https://openalex.org/keywords/no-reference-quality-metrics","display_name":"no-reference quality metrics","score":0.8240000009536743},{"id":"https://openalex.org/keywords/algorithm-comparison","display_name":"algorithm comparison","score":0.44600000977516174}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7330999970436096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6484000086784363},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6110000014305115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6105999946594238},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5282999873161316},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4625000059604645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45989999175071716},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.4440000057220459},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44290000200271606},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4390999972820282},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43309998512268066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.35920000076293945},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35030001401901245},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.3278000056743622},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.3043000102043152},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.2745000123977661},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.2669000029563904},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.26030001044273376},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.2531999945640564}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:ojs.journal.uad.ac.id:article/31200","doi":"https://doi.org/10.26555/jiteki.v11i3.31200","is_oa":true,"landing_page_url":"https://journal.uad.ac.id/index.php/JITEKI/article/view/31200","pdf_url":null,"source":{"id":"https://openalex.org/S4306401036","display_name":"Optimum: Journal of Economics and Development (University of Ahmad Dahlan Yogyakarta)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2608206482","host_organization_name":"Universitas Ahmad Dahlan","host_organization_lineage":["https://openalex.org/I2608206482"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2338-3070","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:eprints.uad.ac.id:88451","doi":"https://doi.org/10.26555/jiteki.v11i3.31200","is_oa":false,"landing_page_url":"http://eprints.uad.ac.id/88451/1/10-Color%2BImage%2BDenoising%2BMethods%2BA%2BLaconic%2BReview%2B.pdf","pdf_url":"http://eprints.uad.ac.id/88451/1/10-Color%2BImage%2BDenoising%2BMethods%2BA%2BLaconic%2BReview%2B.pdf","source":{"id":"https://openalex.org/S4306401955","display_name":"Selamat Datang di Repository UAD (Universitas Ahmad Dahlan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2608206482","host_organization_name":"Universitas Ahmad Dahlan","host_organization_lineage":["https://openalex.org/I2608206482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":{"id":"pmh:oai:ojs.journal.uad.ac.id:article/31200","doi":"https://doi.org/10.26555/jiteki.v11i3.31200","is_oa":true,"landing_page_url":"https://journal.uad.ac.id/index.php/JITEKI/article/view/31200","pdf_url":null,"source":{"id":"https://openalex.org/S4306401036","display_name":"Optimum: Journal of Economics and Development (University of Ahmad Dahlan Yogyakarta)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2608206482","host_organization_name":"Universitas Ahmad Dahlan","host_organization_lineage":["https://openalex.org/I2608206482"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2338-3070","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Color":[0],"image":[1,8,20,40,59,130,230],"denoising":[2,41,60,231],"is":[3,199],"an":[4,31],"essential":[5],"process":[6],"in":[7,57,176,227,254],"processing,":[9],"intending":[10,250],"to":[11,118,221,251],"remove":[12],"noise":[13,102],"from":[14,81],"images":[15,122,126],"while":[16],"preserving":[17,181],"the":[18,35,95,154,163,168,184,191,208,228,235],"important":[19],"details,":[21,179],"for":[22,189,248],"instance,":[23],"edges,":[24],"resolution,":[25],"and":[26,51,66,94,139,166,180,203,205,210,237,246],"accuracy.":[27],"This":[28],"paper":[29],"presents":[30],"experiment-based":[32],"review":[33],"of":[34,38,193,212],"recent":[36],"methods":[37,56,106,172],"color":[39,58,121,229],"algorithms,":[42],"focusing":[43],"on":[44,207,219],"their":[45,213],"strengths,":[46],"limitations,":[47],"complexity,":[48],"findings,":[49],"accuracy,":[50],"comparative":[52],"performance.":[53,214],"Therefore,":[54],"eight":[55],"with":[61,146,157],"different":[62,83,100],"concepts":[63],"were":[64,113],"reviewed":[65,105],"evaluated":[67],"under":[68,99],"a":[69,78,87,224,244],"reliable":[70],"experimental":[71],"environment.":[72],"The":[73,104,150],"evaluation":[74],"was":[75],"conducted":[76],"using":[77],"dataset":[79],"collected":[80],"three":[82,110],"sources,":[84],"such":[85],"as":[86,115,243],"professional":[88],"DSLR":[89],"camera,":[90],"various":[91],"mobile":[92],"devices,":[93],"MIT-Adobe":[96],"database,":[97],"tested":[98],"real-world":[101],"conditions.":[103],"are":[107,127],"assessed":[108],"by":[109],"preceding":[111],"metrics":[112,117],"selected":[114],"no-reference":[116,134],"evaluate":[119],"real":[120],"where":[123],"clean":[124],"reference":[125],"unavailable:":[128],"fast":[129],"sharpness":[131],"estimation":[132],"(FISH),":[133],"structure":[135],"similarity":[136],"(NRSS),":[137],"sparsity,":[138],"dominant-orientation":[140],"quality":[141],"index":[142],"(SDQI),":[143],"objectively,":[144],"along":[145],"subjective":[147],"visual":[148],"analysis.":[149],"results":[151,175],"demonstrate":[152],"that":[153],"Total":[155],"Variation":[156],"Split":[158],"Bregman":[159],"(TVSB)":[160],"algorithm":[161],"achieved":[162],"highest":[164],"performance":[165],"exceeded":[167],"other":[169],"methods.":[170],"Reviewed":[171],"showed":[173],"competitive":[174],"fine":[177],"structure,":[178],"edges.":[182],"Additionally,":[183],"study":[185],"discusses":[186],"future":[187],"recommendations":[188],"improving":[190],"effectiveness":[192],"these":[194],"algorithms.":[195],"Finally,":[196],"this":[197,255],"research":[198],"carried":[200],"out":[201],"systematically":[202,222],"empirically":[204],"focuses":[206],"merits":[209],"demerits":[211],"It":[215],"provides":[216],"stepwise":[217],"guidance":[218],"how":[220],"target":[223],"particular":[225],"approach":[226],"process,":[232],"which":[233],"highlights":[234],"practical":[236],"theoretical":[238],"disparity.":[239],"Moreover,":[240],"it":[241],"serves":[242],"rich":[245],"source":[247],"scholars":[249],"develop":[252],"algorithms":[253],"domain.":[256]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2025-12-10T00:00:00"}