{"id":"https://openalex.org/W2981980942","doi":"https://doi.org/10.1145/3343031.3350855","title":"Hybrid Image Enhancement With Progressive Laplacian Enhancing Unit","display_name":"Hybrid Image Enhancement With Progressive Laplacian Enhancing Unit","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981980942","doi":"https://doi.org/10.1145/3343031.3350855","mag":"2981980942"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3350855","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","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/A5033737940","display_name":"Jie Huang","orcid":"https://orcid.org/0000-0002-3518-3404"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Huang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008612863","display_name":"Zhiwei Xiong","orcid":"https://orcid.org/0000-0002-9787-7460"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Xiong","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079007635","display_name":"Xueyang Fu","orcid":"https://orcid.org/0000-0001-8036-4071"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyang Fu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407381","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0001-9100-2906"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng-Jun Zha","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033737940"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.8169,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.7780854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1614","last_page":"1622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987999796867371,"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":0.7446302175521851},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6259194016456604},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5586059093475342},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.5457746982574463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5381959080696106},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.51884925365448},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43490588665008545},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4249432682991028},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3659984767436981},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33881744742393494},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19520682096481323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15810006856918335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7446302175521851},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6259194016456604},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5586059093475342},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.5457746982574463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5381959080696106},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.51884925365448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43490588665008545},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4249432682991028},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3659984767436981},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33881744742393494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19520682096481323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15810006856918335},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3350855","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1920280450","https://openalex.org/W1946342668","https://openalex.org/W1985109948","https://openalex.org/W2025328853","https://openalex.org/W2037850328","https://openalex.org/W2102166818","https://openalex.org/W2107220193","https://openalex.org/W2149585394","https://openalex.org/W2182682725","https://openalex.org/W2194775991","https://openalex.org/W2256362396","https://openalex.org/W2266355507","https://openalex.org/W2508457857","https://openalex.org/W2565312867","https://openalex.org/W2607202125","https://openalex.org/W2735974062","https://openalex.org/W2739489527","https://openalex.org/W2773490737","https://openalex.org/W2779176852","https://openalex.org/W2963037581","https://openalex.org/W2963222130","https://openalex.org/W2963452532","https://openalex.org/W2963466723","https://openalex.org/W3125028070","https://openalex.org/W4251640158"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2972212393","https://openalex.org/W4301867275","https://openalex.org/W2790610275"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,40,72],"propose":[4,73],"a":[5,35,45,49,74],"novel":[6],"hybrid":[7,36],"network":[8,107],"with":[9,48,130],"Laplacian":[10,75],"enhancing":[11,37,76,101],"unit":[12,94],"for":[13,99],"image":[14,42,126],"enhancement.":[15],"We":[16,104],"combine":[17],"the":[18,26,30,56,82,87,102,109,131],"merits":[19],"of":[20,89],"two":[21],"representative":[22],"enhancement":[23,43,127],"methods,":[24],"i.e.,":[25],"scaling":[27],"scheme":[28],"and":[29,112],"generative":[31],"scheme,":[32],"by":[33,85],"forming":[34],"module.":[38],"Meanwhile,":[39],"model":[41],"in":[44,54],"progressive":[46],"manner":[47],"deep":[50],"cascading":[51],"CNN":[52],"architecture,":[53],"which":[55,78],"previous":[57,90],"feature":[58,91],"maps":[59],"are":[60],"used":[61],"to":[62,66],"enhance":[63,81],"subsequent":[64],"features":[65],"get":[67],"an":[68],"improved":[69],"performance.":[70],"Specifically,":[71],"unit,":[77],"can":[79],"adjustably":[80],"detail":[83],"information":[84],"adding":[86],"residual":[88],"maps.":[92],"This":[93],"is":[95],"embedded":[96],"across":[97],"layers":[98],"progressively":[100],"features.":[103],"build":[105],"our":[106,122],"on":[108],"U-Net":[110],"architecture":[111],"name":[113],"it":[114],"Hybrid":[115],"Progressive":[116],"Enhancing":[117],"U-Net.":[118],"Experiments":[119],"show":[120],"that":[121],"method":[123],"achieves":[124],"superior":[125],"results":[128],"compared":[129],"state-of-the-arts,":[132],"while":[133],"retaining":[134],"competitive":[135],"implementation":[136],"efficiency.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}