{"id":"https://openalex.org/W4413506126","doi":"https://doi.org/10.3390/sym17091381","title":"Attention-Edge-Assisted Neural HDRI Based on Registered Extreme-Exposure-Ratio Images","display_name":"Attention-Edge-Assisted Neural HDRI Based on Registered Extreme-Exposure-Ratio Images","publication_year":2025,"publication_date":"2025-08-24","ids":{"openalex":"https://openalex.org/W4413506126","doi":"https://doi.org/10.3390/sym17091381"},"language":"en","primary_location":{"id":"doi:10.3390/sym17091381","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17091381","pdf_url":"https://www.mdpi.com/2073-8994/17/9/1381/pdf?version=1756025460","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/17/9/1381/pdf?version=1756025460","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100747787","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-4930-7359"},"institutions":[{"id":"https://openalex.org/I10011244","display_name":"Huanggang Normal University","ror":"https://ror.org/007gf6e19","country_code":"CN","type":"education","lineage":["https://openalex.org/I10011244"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["School of Electromechanical and Intelligent Manufacturing, Huanggang Normal University, Huanggang 438000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electromechanical and Intelligent Manufacturing, Huanggang Normal University, Huanggang 438000, China","institution_ids":["https://openalex.org/I10011244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109074644","display_name":"Shuangxi Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I10011244","display_name":"Huanggang Normal University","ror":"https://ror.org/007gf6e19","country_code":"CN","type":"education","lineage":["https://openalex.org/I10011244"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangxi Gao","raw_affiliation_strings":["School of Electromechanical and Intelligent Manufacturing, Huanggang Normal University, Huanggang 438000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electromechanical and Intelligent Manufacturing, Huanggang Normal University, Huanggang 438000, China","institution_ids":["https://openalex.org/I10011244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059922592","display_name":"Longzhang Ke","orcid":"https://orcid.org/0000-0002-8789-032X"},"institutions":[{"id":"https://openalex.org/I10011244","display_name":"Huanggang Normal University","ror":"https://ror.org/007gf6e19","country_code":"CN","type":"education","lineage":["https://openalex.org/I10011244"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longzhang Ke","raw_affiliation_strings":["School of Electromechanical and Intelligent Manufacturing, Huanggang Normal University, Huanggang 438000, China"],"raw_orcid":"https://orcid.org/0000-0002-8789-032X","affiliations":[{"raw_affiliation_string":"School of Electromechanical and Intelligent Manufacturing, Huanggang Normal University, Huanggang 438000, China","institution_ids":["https://openalex.org/I10011244"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100412709","display_name":"Xiaojun Liu","orcid":"https://orcid.org/0000-0002-5388-9494"},"institutions":[{"id":"https://openalex.org/I10011244","display_name":"Huanggang Normal University","ror":"https://ror.org/007gf6e19","country_code":"CN","type":"education","lineage":["https://openalex.org/I10011244"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaojun Liu","raw_affiliation_strings":["School of Electromechanical and Intelligent Manufacturing, Huanggang Normal University, Huanggang 438000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electromechanical and Intelligent Manufacturing, Huanggang Normal University, Huanggang 438000, China","institution_ids":["https://openalex.org/I10011244"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100412709"],"corresponding_institution_ids":["https://openalex.org/I10011244"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":1.0951,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7833674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"17","issue":"9","first_page":"1381","last_page":"1381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9995999932289124,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5753904581069946},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5359388589859009},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45650017261505127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44785645604133606},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.37574630975723267}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5753904581069946},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5359388589859009},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45650017261505127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44785645604133606},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.37574630975723267}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/sym17091381","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17091381","pdf_url":"https://www.mdpi.com/2073-8994/17/9/1381/pdf?version=1756025460","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17091381","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17091381","pdf_url":"https://www.mdpi.com/2073-8994/17/9/1381/pdf?version=1756025460","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413506126.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W206948248","https://openalex.org/W1580436348","https://openalex.org/W2094633075","https://openalex.org/W2125188192","https://openalex.org/W2575511118","https://openalex.org/W2752849939","https://openalex.org/W2783573276","https://openalex.org/W2799228606","https://openalex.org/W2898542970","https://openalex.org/W2963530785","https://openalex.org/W2990293450","https://openalex.org/W3009541483","https://openalex.org/W3016539359","https://openalex.org/W3034350443","https://openalex.org/W3046194589","https://openalex.org/W3049500832","https://openalex.org/W3114564986","https://openalex.org/W3131111098","https://openalex.org/W3138516171","https://openalex.org/W3173855468","https://openalex.org/W3176096490","https://openalex.org/W3186471925","https://openalex.org/W3197554934","https://openalex.org/W3207918547","https://openalex.org/W3216987090","https://openalex.org/W4210531105","https://openalex.org/W4214841991","https://openalex.org/W4236229596","https://openalex.org/W4292387365","https://openalex.org/W4292793873","https://openalex.org/W4294982731","https://openalex.org/W4319663739","https://openalex.org/W4381480353","https://openalex.org/W4385801215","https://openalex.org/W4390871853","https://openalex.org/W4394699053","https://openalex.org/W4394836008","https://openalex.org/W4409077074"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0],"order":[1,106],"to":[2,84,135],"improve":[3],"image":[4,24,31,66,110],"visual":[5],"quality":[6],"in":[7,56,107,139,157,170],"high":[8,40],"dynamic":[9,41],"range":[10,42],"(HDR)":[11],"scenes":[12],"while":[13,130],"avoiding":[14],"motion":[15],"ghosting":[16],"artifacts":[17,55],"caused":[18],"by":[19],"exposure":[20,37],"time":[21],"differences,":[22],"innovative":[23],"sensors":[25],"captured":[26],"two":[27,162],"registered":[28],"extreme-exposure-ratio":[29],"(EER)":[30],"pairs":[32],"with":[33],"complementary":[34],"and":[35,58,81,100,142,165],"symmetric":[36],"configurations":[38],"for":[39,75],"imaging":[43],"(HDRI).":[44],"However,":[45],"existing":[46],"multi-exposure":[47],"fusion":[48],"(MEF)":[49],"algorithms":[50],"suffer":[51],"from":[52,95,126],"luminance":[53,87,93,105,155],"inversion":[54,156],"overexposed":[57],"underexposed":[59],"regions":[60],"when":[61,159],"directly":[62],"combining":[63],"such":[64],"EER":[65,163],"pairs.":[67],"This":[68],"paper":[69],"proposes":[70],"a":[71,96,112,127],"neural":[72],"network-based":[73],"framework":[74,90,152],"HDRI":[76,158],"based":[77],"on":[78],"attention":[79],"mechanisms":[80],"edge":[82,131],"assistance":[83],"recover":[85],"missing":[86],"information.":[88],"The":[89,145],"derives":[91],"local":[92],"representations":[94],"convolution":[97],"kernel":[98],"perspective,":[99],"subsequently":[101],"refines":[102],"the":[103,108,118,150],"global":[104],"fused":[109],"using":[111],"Transformer-based":[113],"residual":[114],"group.":[115],"To":[116],"support":[117],"two-stage":[119],"process,":[120],"multi-scale":[121],"channel":[122],"features":[123],"are":[124,133,161],"extracted":[125],"double-attention":[128],"mechanism,":[129],"cues":[132],"incorporated":[134],"enhance":[136],"detail":[137],"preservation":[138],"both":[140],"highlight":[141],"shadow":[143],"regions.":[144],"experimental":[146],"results":[147],"validate":[148],"that":[149],"proposed":[151],"can":[153],"alleviate":[154],"inputs":[160],"images,":[164],"maintain":[166],"fine":[167],"structural":[168],"details":[169],"complex":[171],"HDR":[172],"scenes.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
