{"id":"https://openalex.org/W4415708188","doi":"https://doi.org/10.1109/icme59968.2025.11209871","title":"Mutual Guidance and Residual Integration for Image Enhancement","display_name":"Mutual Guidance and Residual Integration for Image Enhancement","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708188","doi":"https://doi.org/10.1109/icme59968.2025.11209871"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100722046","display_name":"Kun Zhou","orcid":"https://orcid.org/0000-0001-9592-6575"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kun Zhou","raw_affiliation_strings":["SmartMore Corporation"],"affiliations":[{"raw_affiliation_string":"SmartMore Corporation","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021528853","display_name":"Xinyu Lin","orcid":"https://orcid.org/0000-0003-0304-8993"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Lin","raw_affiliation_strings":["The Chinese University of Hong Kong,Shenzhen"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100722046"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33764943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9485999941825867,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9485999941825867,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.026000000536441803,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.005799999926239252,"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/mutual-information","display_name":"Mutual information","score":0.6777999997138977},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5636000037193298},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4244999885559082},{"id":"https://openalex.org/keywords/information-exchange","display_name":"Information exchange","score":0.38989999890327454},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.3749000132083893},{"id":"https://openalex.org/keywords/information-integration","display_name":"Information integration","score":0.3693000078201294},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3492000102996826},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.3181000053882599}],"concepts":[{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6777999997138977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6025999784469604},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5636000037193298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4368000030517578},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4244999885559082},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41780000925064087},{"id":"https://openalex.org/C189693848","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information exchange","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3749000132083893},{"id":"https://openalex.org/C33326189","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information integration","level":2,"score":0.3693000078201294},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.3181000053882599},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2849999964237213},{"id":"https://openalex.org/C168031717","wikidata":"https://www.wikidata.org/wiki/Q1530280","display_name":"Balance (ability)","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2696000039577484},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C123138037","wikidata":"https://www.wikidata.org/wiki/Q5570871","display_name":"Global network","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2107877995","https://openalex.org/W2154549868","https://openalex.org/W2607815771","https://openalex.org/W2735974062","https://openalex.org/W2798844427","https://openalex.org/W2948354154","https://openalex.org/W2963870605","https://openalex.org/W2970794526","https://openalex.org/W3034539499","https://openalex.org/W3035229960","https://openalex.org/W3106758205","https://openalex.org/W3107259129","https://openalex.org/W3125869362","https://openalex.org/W3160694286","https://openalex.org/W3163547207","https://openalex.org/W3204478975","https://openalex.org/W3210551775","https://openalex.org/W4214665850","https://openalex.org/W4225672218","https://openalex.org/W4312812783","https://openalex.org/W4313059954","https://openalex.org/W4390872514","https://openalex.org/W4411111030"],"related_works":[],"abstract_inverted_index":{"Previous":[0],"studies":[1],"highlight":[2],"the":[3],"need":[4],"for":[5,42],"global":[6,56],"and":[7,57],"local":[8,58],"adjustments":[9],"in":[10],"image":[11],"enhancement.":[12],"However,":[13],"existing":[14],"models":[15],"struggle":[16],"to":[17,83],"balance":[18],"computational":[19],"efficiency":[20],"with":[21],"effective":[22,69],"global-local":[23,45],"information":[24,46,70],"use,":[25],"often":[26],"relying":[27],"on":[28,80,96],"unidirectional":[29],"fusion.":[30],"To":[31],"overcome":[32],"these":[33],"challenges,":[34],"we":[35,73],"propose":[36],"a":[37,49,75],"Mutual":[38],"Guidance":[39],"Network":[40],"(MGN)":[41],"efficient":[43],"bidirectional":[44],"exchange":[47],"within":[48],"compact":[50],"architecture.":[51],"Our":[52],"two-branch":[53],"design":[54],"separates":[55],"processing,":[59],"enhanced":[60],"by":[61],"an":[62],"attention-based":[63],"mutual":[64],"guidance":[65],"mechanism":[66],"that":[67,90],"enables":[68],"aggregation.":[71],"Additionally,":[72],"introduce":[74],"residual":[76],"integration":[77],"scheme":[78],"based":[79],"divide-and-conquer":[81],"principles":[82],"further":[84],"refine":[85],"results.":[86],"Extensive":[87],"experiments":[88],"show":[89],"our":[91],"method":[92],"achieves":[93],"state-of-the-art":[94],"performance":[95],"multiple":[97],"benchmarks.":[98]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-30T00:00:00"}