{"id":"https://openalex.org/W4388893666","doi":"https://doi.org/10.1109/tencon58879.2023.10322376","title":"Mixed Noise Suppression Using UNET and its Variants","display_name":"Mixed Noise Suppression Using UNET and its Variants","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388893666","doi":"https://doi.org/10.1109/tencon58879.2023.10322376"},"language":"en","primary_location":{"id":"doi:10.1109/tencon58879.2023.10322376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon58879.2023.10322376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)","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/A5006226215","display_name":"Milan Tripathi","orcid":"https://orcid.org/0000-0002-8920-5920"},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Milan Tripathi","raw_affiliation_strings":["School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University,Pathum Thani,Thailand","School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University,Pathum Thani,Thailand","institution_ids":["https://openalex.org/I108108428"]},{"raw_affiliation_string":"School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060305629","display_name":"Toshiaki Kondo","orcid":"https://orcid.org/0000-0001-7491-4356"},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Toshiaki Kondo","raw_affiliation_strings":["School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University,Pathum Thani,Thailand","School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University,Pathum Thani,Thailand","institution_ids":["https://openalex.org/I108108428"]},{"raw_affiliation_string":"School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1123,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42775802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"226","last_page":"231"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991999864578247,"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":0.9987000226974487,"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":0.7776967883110046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6600465774536133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6595443487167358},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6364290118217468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5312701463699341},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.529106080532074},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5012586116790771},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.4996047019958496},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.47994330525398254},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.4712256193161011},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46426060795783997},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.45826512575149536},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4372440576553345},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42037859559059143},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17490887641906738},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.11744669079780579}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7776967883110046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6600465774536133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6595443487167358},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6364290118217468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5312701463699341},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.529106080532074},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5012586116790771},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.4996047019958496},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.47994330525398254},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.4712256193161011},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46426060795783997},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.45826512575149536},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4372440576553345},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42037859559059143},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17490887641906738},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.11744669079780579},{"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/tencon58879.2023.10322376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon58879.2023.10322376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2003884262","https://openalex.org/W2049004027","https://openalex.org/W2064675550","https://openalex.org/W2133665775","https://openalex.org/W2142317660","https://openalex.org/W2146795245","https://openalex.org/W2798122215","https://openalex.org/W2809254203","https://openalex.org/W2909431601","https://openalex.org/W3015520332","https://openalex.org/W3047520925","https://openalex.org/W3129492101","https://openalex.org/W3185551177","https://openalex.org/W3189980090","https://openalex.org/W3194730353","https://openalex.org/W4280611024","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W233850645","https://openalex.org/W1538114257","https://openalex.org/W2098237619","https://openalex.org/W4287081060","https://openalex.org/W3182043338","https://openalex.org/W2035842925","https://openalex.org/W2810018092","https://openalex.org/W2791234060","https://openalex.org/W2360732716","https://openalex.org/W2062514975"],"abstract_inverted_index":{"Image":[0],"denoising":[1,30,51,84],"holds":[2],"significant":[3],"importance":[4],"in":[5,39,54,83,113,118,160],"the":[6,13,76,99,107,146,152],"realm":[7],"of":[8,59,71,78,101,109,135,162],"image":[9,29,43,50],"processing":[10,44],"due":[11],"to":[12,27],"potential":[14],"distortions":[15],"caused":[16],"by":[17,67,129,150],"environmental":[18],"factors":[19],"and":[20,80,140,164],"technical":[21],"problems.":[22],"Consequently,":[23],"it":[24,37],"is":[25,90],"logical":[26],"consider":[28],"as":[31,36],"a":[32,57,68],"critical":[33],"research":[34],"domain":[35],"aids":[38],"addressing":[40],"various":[41],"other":[42],"challenges.":[45],"Although":[46],"numerous":[47],"techniques":[48,95,112],"for":[49,98],"have":[52],"emerged":[53],"recent":[55],"years,":[56],"majority":[58],"them":[60],"primarily":[61],"focus":[62],"on":[63],"restoring":[64],"images":[65,86,131,148],"afflicted":[66],"single":[69],"source":[70],"noise.":[72],"In":[73],"this":[74],"study,":[75],"effectiveness":[77],"UNET":[79,156],"its":[81],"variant":[82],"facial":[85,119,130],"with":[87],"mixed":[88,116],"noises":[89],"examined.":[91],"Furthermore,":[92,145],"traditional":[93],"filtering":[94,111],"are":[96],"investigated":[97],"purpose":[100],"comparison.":[102],"The":[103],"experimental":[104],"results":[105],"indicate":[106],"insufficiency":[108],"conventional":[110],"effectively":[114],"mitigating":[115],"noise":[117],"images.":[120],"Conversely,":[121],"employing":[122,151],"UNET-based":[123],"architectures":[124],"yields":[125],"promising":[126],"outcomes,":[127],"characterized":[128],"exhibiting":[132],"commendable":[133],"values":[134],"peak":[136],"signal-to-noise":[137],"ratio":[138],"(PSNR)":[139],"structural":[141],"similarity":[142],"index":[143],"(SSIM).":[144],"denoised":[147],"produced":[149],"proposed":[153],"residual":[154],"attention":[155],"exhibit":[157],"notable":[158],"enhancements":[159],"terms":[161],"clarity":[163],"intricate":[165],"details.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}