{"id":"https://openalex.org/W4413104766","doi":"https://doi.org/10.1109/lsp.2025.3597878","title":"Quaternion Wavelet-Driven Multi-Scale Feature Interaction Network for Color Image Denoising","display_name":"Quaternion Wavelet-Driven Multi-Scale Feature Interaction Network for Color Image Denoising","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413104766","doi":"https://doi.org/10.1109/lsp.2025.3597878"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3597878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3597878","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5032806691","display_name":"Shan Gai","orcid":"https://orcid.org/0000-0001-6139-1410"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Gai","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0000-0001-6139-1410","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yihao Wu","orcid":"https://orcid.org/0009-0005-1086-6953"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihao Wu","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0009-0005-1086-6953","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007960012","display_name":"Shengli Lu","orcid":"https://orcid.org/0000-0001-5769-8671"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguang Lu","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8699,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86888014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"32","issue":null,"first_page":"3425","last_page":"3429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.995199978351593,"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":0.995199978351593,"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":0.9843000173568726,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9697999954223633,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7701520919799805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6186566948890686},{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.6053286194801331},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5869030356407166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5858901739120483},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5802431106567383},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5773964524269104},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5580753087997437},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.5200647711753845},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.48452967405319214},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4450072944164276},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42587360739707947},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.41980892419815063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2702234387397766}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7701520919799805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6186566948890686},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.6053286194801331},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5869030356407166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5858901739120483},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5802431106567383},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5773964524269104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5580753087997437},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.5200647711753845},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.48452967405319214},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4450072944164276},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42587360739707947},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.41980892419815063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2702234387397766},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3597878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3597878","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3869261972","display_name":"\u9000\u5316\u590d\u56db\u5143\u6570\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u7814\u7a76\u53ca\u5176\u5728\u6d77\u91cfRGB-D\u56fe\u50cf\u8bc6\u522b\u4e2d\u7684\u5e94\u7528","funder_award_id":"62061032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1882871651","https://openalex.org/W1901129140","https://openalex.org/W1930824406","https://openalex.org/W2056370875","https://openalex.org/W2097073572","https://openalex.org/W2121927366","https://openalex.org/W2132984323","https://openalex.org/W2133665775","https://openalex.org/W2147056688","https://openalex.org/W2194775991","https://openalex.org/W2323822180","https://openalex.org/W2508457857","https://openalex.org/W2556068545","https://openalex.org/W2565639579","https://openalex.org/W2894977338","https://openalex.org/W2911113196","https://openalex.org/W2963446712","https://openalex.org/W2971719842","https://openalex.org/W2999653953","https://openalex.org/W3034504121","https://openalex.org/W3034552520","https://openalex.org/W3167568784","https://openalex.org/W3174300208","https://openalex.org/W4206473685","https://openalex.org/W4223982892","https://openalex.org/W4225672218","https://openalex.org/W4289779087","https://openalex.org/W4319459150","https://openalex.org/W4385245566","https://openalex.org/W4390146387","https://openalex.org/W4394862999","https://openalex.org/W4407805476","https://openalex.org/W4408029328","https://openalex.org/W4409356664","https://openalex.org/W4410051516","https://openalex.org/W4411086858"],"related_works":["https://openalex.org/W2387796150","https://openalex.org/W1987356308","https://openalex.org/W3119800349","https://openalex.org/W4385272703","https://openalex.org/W4407169614","https://openalex.org/W2541197080","https://openalex.org/W1974034585","https://openalex.org/W2810018092","https://openalex.org/W2098237619","https://openalex.org/W2912242094"],"abstract_inverted_index":{"Real-valued":[0],"wavelets":[1,21],"have":[2],"achieved":[3],"great":[4],"success":[5],"in":[6,57,72],"image":[7,162],"denoising":[8,163],"due":[9],"to":[10,33,63,106,133],"their":[11],"sparse":[12],"representation":[13],"capability":[14],"under":[15],"multi-scale":[16,98,135],"analysis.":[17],"However,":[18],"existing":[19],"real-valued":[20],"suffer":[22],"from":[23],"limited":[24],"directional":[25],"selectivity":[26],"and":[27,36,88,121,171],"translation":[28,86],"sensitivity,":[29],"which":[30],"can":[31],"lead":[32],"color":[34,120,161],"distortion":[35],"loss":[37],"of":[38,54,168,187],"phase":[39,89,111],"information.":[40],"The":[41],"quaternion":[42,68,147],"wavelet":[43,61],"transform":[44,62],"(QWT)":[45],"offers":[46],"a":[47,78,96,127,146,166],"new":[48],"solution":[49],"by":[50],"extending":[51],"each":[52],"pair":[53],"complex":[55,60],"filters":[56],"the":[58,114,173,192],"dual-tree":[59],"quaternion-valued":[64],"filter":[65],"banks,":[66],"generating":[67],"high":[69],"frequency":[70,80],"subbands":[71],"three":[73],"principal":[74],"directions":[75],"while":[76],"retaining":[77],"low":[79],"approximation,":[81],"thus":[82],"achieving":[83],"cross":[84,108],"channel":[85,109,149],"invariance":[87],"consistency.":[90],"Based":[91],"on":[92],"this,":[93],"we":[94,144],"propose":[95],"QWT-driven":[97],"feature":[99,129],"interaction":[100],"network":[101],"(QMFINet).":[102],"QMFINet":[103,157],"leverages":[104],"QWT":[105],"extract":[107],"structured":[110],"features":[112,140],"at":[113,141,176],"same":[115],"spatial":[116],"locations,":[117],"precisely":[118],"linking":[119],"texture":[122],"details;":[123],"it":[124],"further":[125],"employs":[126],"three-path":[128],"extraction":[130],"module":[131],"(TPFEM)":[132],"capture":[134],"representations.":[136],"To":[137],"effectively":[138],"fuse":[139],"different":[142],"resolutions,":[143],"design":[145],"ordered":[148],"attention":[150],"subnet":[151],"(QOCAS).":[152],"Experimental":[153],"results":[154],"demonstrate":[155],"that":[156],"outperforms":[158],"several":[159],"state-of-the-art":[160,194],"methods":[164],"across":[165],"range":[167],"noise":[169],"levels,":[170],"achieves":[172],"best":[174],"performance":[175],"<inline-formula":[177],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[178],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[179],"notation=\"LaTeX\">$\\sigma":[180],"=75$</tex-math></inline-formula>,":[181],"with":[182],"an":[183],"average":[184],"PSNR":[185],"improvement":[186],"approximately":[188],"0.3-0.4":[189],"dB":[190],"over":[191],"previous":[193],"method.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}