{"id":"https://openalex.org/W4390904930","doi":"https://doi.org/10.1109/lsp.2024.3354549","title":"Image Smoothing via Multiscale Global Perception","display_name":"Image Smoothing via Multiscale Global Perception","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390904930","doi":"https://doi.org/10.1109/lsp.2024.3354549"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3354549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3354549","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/A5100618518","display_name":"Xuyi He","orcid":"https://orcid.org/0009-0001-9058-8172"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuyi He","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-9058-8172","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038130835","display_name":"Yuhui Quan","orcid":"https://orcid.org/0000-0002-2564-7703"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Quan","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2564-7703","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010277066","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0001-7183-3155"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7183-3155","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037627177","display_name":"Ruotao Xu","orcid":"https://orcid.org/0000-0002-5277-9859"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruotao Xu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Institute for Super Robotics, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5277-9859","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Institute for Super Robotics, Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":1.627,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84248692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"31","issue":null,"first_page":"411","last_page":"415"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/computer-science","display_name":"Computer science","score":0.7812952399253845},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.748817503452301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6104817986488342},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5740585327148438},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5100932717323303},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5047687292098999},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4424405097961426},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4300311803817749},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.41589632630348206},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4130537509918213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3877851963043213},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27596336603164673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7812952399253845},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.748817503452301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6104817986488342},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5740585327148438},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5100932717323303},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5047687292098999},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4424405097961426},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4300311803817749},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.41589632630348206},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4130537509918213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3877851963043213},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27596336603164673},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3354549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3354549","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":[{"display_name":"Industry, innovation and infrastructure","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1263083699","display_name":null,"funder_award_id":"x2jsD2230220","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2565906561","display_name":null,"funder_award_id":"2022A1515011755","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G3333991540","display_name":null,"funder_award_id":"61902130","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3410818599","display_name":null,"funder_award_id":"62372186","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5836622010","display_name":null,"funder_award_id":"62106077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6434574764","display_name":null,"funder_award_id":"2022A1515011087","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7693847685","display_name":null,"funder_award_id":"2023A1515012841","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1998483243","https://openalex.org/W2061052400","https://openalex.org/W2078718577","https://openalex.org/W2099244020","https://openalex.org/W2103559027","https://openalex.org/W2106403211","https://openalex.org/W2109075629","https://openalex.org/W2160956336","https://openalex.org/W2194775991","https://openalex.org/W2231495490","https://openalex.org/W2291143146","https://openalex.org/W2489951788","https://openalex.org/W2519373937","https://openalex.org/W2557156902","https://openalex.org/W2884585870","https://openalex.org/W2904488225","https://openalex.org/W2927736748","https://openalex.org/W2963452532","https://openalex.org/W2963676366","https://openalex.org/W2964046515","https://openalex.org/W3035133372","https://openalex.org/W3035326127","https://openalex.org/W3088540525","https://openalex.org/W3100824474","https://openalex.org/W3103294678","https://openalex.org/W3113304539","https://openalex.org/W3170878432","https://openalex.org/W3198884575","https://openalex.org/W3202040256","https://openalex.org/W4224917598","https://openalex.org/W4304098294","https://openalex.org/W4312678820","https://openalex.org/W4312934905","https://openalex.org/W6639138679","https://openalex.org/W6796417832","https://openalex.org/W6796698253"],"related_works":["https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W2149980199","https://openalex.org/W3125766170","https://openalex.org/W2390309156"],"abstract_inverted_index":{"Image":[0],"smoothing":[1,35,128],"provides":[2],"a":[3,10,17,48,58,84],"fundamental":[4],"operation":[5],"for":[6,33],"image":[7,25,34],"processing,":[8],"with":[9,27,51,87],"broad":[11],"spectrum":[12],"of":[13,60,73,83],"applications.":[14],"It":[15],"is":[16],"challenging":[18],"task":[19],"which":[20],"requires":[21],"global":[22,40,61,100,113],"analysis":[23],"on":[24,138],"patterns":[26],"scale":[28],"awareness.":[29],"Existing":[30],"deep":[31,49],"models":[32],"are":[36],"insufficiently":[37],"efficient":[38,53],"in":[39,126,135],"perception":[41],"and":[42,57,80,96,112,130],"multi-scale":[43,54,67,88],"processing.":[44],"This":[45],"paper":[46],"proposes":[47],"model":[50,123],"an":[52],"fusion":[55,90],"architecture":[56,65],"series":[59],"processing":[62,101,106],"blocks.":[63],"The":[64,99],"enhances":[66],"feature":[68,89],"flow":[69],"by":[70],"incorporating":[71],"features":[72],"different":[74],"scales":[75],"into":[76],"both":[77,127],"the":[78,94,97,104,136],"encoder":[79,95],"decoder":[81],"blocks":[82,102],"U-shape":[85],"network,":[86],"modules":[91],"inserted":[92],"between":[93],"decoder.":[98],"leverage":[103],"multi-axis":[105],"mechanism":[107],"to":[108],"achieve":[109],"joint":[110],"local":[111],"perception.":[114],"Benefiting":[115],"from":[116],"these":[117],"two":[118,139],"key":[119],"designs,":[120],"our":[121],"proposed":[122],"enjoys":[124],"superiority":[125],"performance":[129],"computational":[131],"complexity,":[132],"as":[133],"demonstrated":[134],"experiments":[137],"benchmark":[140],"datasets.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
