{"id":"https://openalex.org/W4402979607","doi":"https://doi.org/10.1109/icme57554.2024.10688044","title":"ESR-DDLN : Enhanced Single Image Super-Resolution Via Dual-Domain Learning Network","display_name":"ESR-DDLN : Enhanced Single Image Super-Resolution Via Dual-Domain Learning Network","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979607","doi":"https://doi.org/10.1109/icme57554.2024.10688044"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5041359140","display_name":"Zihao He","orcid":"https://orcid.org/0000-0001-7253-4835"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao He","raw_affiliation_strings":["Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012257365","display_name":"Shengchuan Zhang","orcid":"https://orcid.org/0000-0002-0824-4945"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengchuan Zhang","raw_affiliation_strings":["Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":1.5934,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85162316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.98089998960495,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.98089998960495,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9420999884605408,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9218000173568726,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6358394026756287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5926216840744019},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4759480953216553},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4751798212528229},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.45594558119773865},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.44665592908859253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4247640371322632},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37661775946617126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12303104996681213}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6358394026756287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5926216840744019},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4759480953216553},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4751798212528229},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.45594558119773865},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.44665592908859253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4247640371322632},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37661775946617126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12303104996681213},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10688044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2110158442","https://openalex.org/W2192954843","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2739757502","https://openalex.org/W2866634454","https://openalex.org/W2963372104","https://openalex.org/W2969478700","https://openalex.org/W2976718572","https://openalex.org/W3096739052","https://openalex.org/W3130107790","https://openalex.org/W3166727904","https://openalex.org/W3174205678","https://openalex.org/W3193940683","https://openalex.org/W3207918547","https://openalex.org/W4206344569","https://openalex.org/W4306174033","https://openalex.org/W4386075678","https://openalex.org/W4386075979","https://openalex.org/W4390874128","https://openalex.org/W6696670905","https://openalex.org/W6776512303","https://openalex.org/W6802869059"],"related_works":["https://openalex.org/W3216672236","https://openalex.org/W4250542427","https://openalex.org/W2216090681","https://openalex.org/W2352553236","https://openalex.org/W2990774877","https://openalex.org/W2143529858","https://openalex.org/W3093339210","https://openalex.org/W4367590696","https://openalex.org/W2056165575","https://openalex.org/W2358774654"],"abstract_inverted_index":{"Most":[0],"existing":[1],"CNN-based":[2],"super-resolution":[3],"(SR)":[4],"methods":[5],"focus":[6],"solely":[7],"on":[8,120],"the":[9,28,78,84,92,97,130],"spatial":[10,73,87],"domain.":[11],"We":[12],"argue":[13],"that":[14],"frequency":[15,29,75,89],"domain":[16],"details":[17,67],"are":[18],"essential":[19],"for":[20,40,141],"reconstructing":[21],"fine":[22],"textures":[23],"and":[24,57,74,88,116,137],"patterns.":[25],"To":[26],"leverage":[27],"information,":[30],"this":[31],"paper":[32],"presents":[33],"a":[34,52,58],"novel":[35,139],"Dual-Domain":[36,48],"Learning":[37,49],"Network":[38],"(DDLN)":[39],"enhanced":[41],"image":[42,66,114],"SR.":[43],"Specifically,":[44],"DDLN":[45],"includes":[46],"Deep":[47],"Blocks":[50],"(DDLB),":[51],"Cross":[53,79],"Modal":[54,80],"Distillation":[55,81],"Loss":[56,82],"pioneering":[59,98],"Discriminator.":[60],"First,":[61],"DDLB":[62],"can":[63],"capture":[64],"comprehensive":[65],"via":[68],"simultaneous":[69],"feature":[70],"optimization":[71],"in":[72,135],"domains.":[76],"Next,":[77],"guides":[83],"fusion":[85],"of":[86,132],"features,":[90],"enhancing":[91],"network\u2019s":[93],"learning":[94],"capability.":[95],"Finally,":[96],"Discriminator":[99],"with":[100],"full":[101],"complex-valued":[102],"convolution":[103],"processes":[104],"images":[105],"converted":[106],"from":[107],"HSV":[108],"to":[109],"complex":[110],"form,":[111],"boosting":[112],"SR":[113,136],"quality":[115],"realism.":[117],"Comparative":[118],"experiments":[119],"standard":[121],"datasets":[122],"demonstrate":[123],"significant":[124],"improvements":[125],"over":[126],"current":[127],"techniques,":[128],"showcasing":[129],"potential":[131],"dual-domain":[133],"approaches":[134],"offering":[138],"insights":[140],"future":[142],"research.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
