{"id":"https://openalex.org/W4417002657","doi":"https://doi.org/10.1109/access.2025.3640164","title":"Learning-Based Uncertainty-Guided Adaptive Image Denoising: A Multi-Scale Patch Selection Framework","display_name":"Learning-Based Uncertainty-Guided Adaptive Image Denoising: A Multi-Scale Patch Selection Framework","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4417002657","doi":"https://doi.org/10.1109/access.2025.3640164"},"language":null,"primary_location":{"id":"doi:10.1109/access.2025.3640164","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3640164","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3640164","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"A. Shalini","orcid":"https://orcid.org/0009-0000-3052-1438"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Shalini","raw_affiliation_strings":["School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology, Chennai, India"],"raw_orcid":"https://orcid.org/0009-0000-3052-1438","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology, Chennai, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031082284","display_name":"Christy Jackson Joshua","orcid":"https://orcid.org/0000-0001-9468-7672"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Christy Jackson Joshua","raw_affiliation_strings":["School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0001-9468-7672","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology, Chennai, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35255789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"207928","last_page":"207940"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9420999884605408,"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":0.9420999884605408,"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":0.014000000432133675,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.007699999958276749,"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":0.6478999853134155},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5864999890327454},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5770999789237976},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5400999784469604},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.5332000255584717},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.48159998655319214},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4796999990940094},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42309999465942383},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.40720000863075256}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7250999808311462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6492999792098999},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6478999853134155},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5864999890327454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5770999789237976},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5400999784469604},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.5332000255584717},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.48159998655319214},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4796999990940094},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42309999465942383},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.40720000863075256},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3779999911785126},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33180001378059387},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.33160001039505005},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2831000089645386},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.2766000032424927},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.26080000400543213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/access.2025.3640164","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3640164","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3640164","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3640164","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319346","display_name":"Vellore Institute of Technology, Chennai","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2056370875","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2508457857","https://openalex.org/W2764207251","https://openalex.org/W2963725279","https://openalex.org/W2983315964","https://openalex.org/W3034902810","https://openalex.org/W3207918547","https://openalex.org/W4225538054","https://openalex.org/W4225672218","https://openalex.org/W4309349667","https://openalex.org/W4312812783","https://openalex.org/W4312933868","https://openalex.org/W4372336638","https://openalex.org/W4391034601","https://openalex.org/W4395447924","https://openalex.org/W4402632974","https://openalex.org/W4402660092","https://openalex.org/W4402754075","https://openalex.org/W4403238575","https://openalex.org/W4407884192","https://openalex.org/W4408479614","https://openalex.org/W4410974734","https://openalex.org/W4411469128","https://openalex.org/W4413456678","https://openalex.org/W4414197685"],"related_works":[],"abstract_inverted_index":{"Traditional":[0],"image":[1,121],"denoising":[2,43,101],"methods":[3],"apply":[4],"processing":[5,189],"strategies":[6,32],"uniformly":[7],"across":[8,222],"entire":[9],"images,":[10],"which":[11,55],"leads":[12],"to":[13,17,58,195],"failure":[14],"in":[15,188,193,199],"adapting":[16],"the":[18,35,111,133,135,141,149,152],"diverse":[19,85],"local":[20],"characteristics":[21],"and":[22,42,70,87,99,151],"noise":[23],"patterns.":[24],"We":[25],"propose":[26],"a":[27,77,89,196],"system":[28,46],"that":[29,51],"adaptively":[30],"selects":[31],"based":[33,131],"on":[34,83,132],"uncertainty":[36,49,136],"by":[37,110,148,208],"selecting":[38],"optimal":[39],"patch":[40,127],"sizes":[41,128],"methods.":[44],"Our":[45],"introduces":[47],"an":[48,120],"model":[50],"has":[52],"six":[53],"components,":[54],"are":[56,129,154,165],"used":[57],"capture":[59],"spatial":[60],"variance,":[61],"structural":[62],"proximity,":[63],"spectral":[64],"characteristics,":[65,134],"algorithmic":[66],"disagreement,":[67],"chromatic":[68],"coherence,":[69],"textural":[71],"discrimination.":[72],"To":[73],"predict":[74],"method":[75,107],"selection,":[76],"machine":[78],"learning":[79],"ensemble":[80,113],"is":[81,122,138,146,173,191,205],"trained":[82],"75,000":[84],"samples":[86],"achieves":[88],"93.4\u00b11.6%":[90],"accuracy.":[91],"The":[92,213],"framework":[93,215],"employs":[94],"bilateral":[95],"filtering,":[96],"non-local":[97],"means,":[98],"consensus-based":[100],"as":[102,124],"primary":[103],"methods,":[104],"with":[105],"adaptive":[106,126],"selection":[108,145],"guided":[109],"uncertainty-based":[112],"model.":[114],"Using":[115],"these":[116],"two":[117],"strategies,":[118],"when":[119,170],"given":[123],"input,":[125],"applied":[130],"map":[137],"found":[139],"for":[140,219],"patch,":[142],"relevant":[143],"function":[144],"done":[147],"ensemble,":[150],"patches":[153],"fused":[155],"using":[156],"confidence":[157],"weights.":[158],"Consistent":[159],"improvements":[160],"of":[161,186],"0.33-0.56":[162],"dB":[163],"PSNR":[164],"noted":[166],"over":[167,175],"traditional":[168],"filters":[169],"extensive":[171],"evaluation":[172],"performed":[174],"five":[176],"benchmark":[177],"datasets":[178],"(BSD68,":[179],"Set12,":[180],"CBSD68,":[181],"SIDD,":[182],"DND).":[183],"An":[184],"increase":[185],"18%":[187],"speed":[190],"noted,":[192],"addition":[194],"66%":[197],"decrease":[198],"memory":[200],"usage.":[201],"A":[202],"robust":[203],"generalization":[204],"achieved,":[206],"validated":[207],"low":[209],"cross-dataset":[210],"performance":[211],"degradation.":[212],"proposed":[214],"emphasizes":[216],"its":[217],"potential":[218],"broad":[220],"applicability":[221],"imaging":[223],"domains.":[224]},"counts_by_year":[],"updated_date":"2025-12-16T23:43:54.943958","created_date":"2025-12-04T00:00:00"}