{"id":"https://openalex.org/W2891102630","doi":"https://doi.org/10.1109/icassp.2018.8462182","title":"Learning In-Place Residual Homogeneity for Image Detail Enhancement","display_name":"Learning In-Place Residual Homogeneity for Image Detail Enhancement","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2891102630","doi":"https://doi.org/10.1109/icassp.2018.8462182","mag":"2891102630"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100623154","display_name":"He Jiang","orcid":"https://orcid.org/0000-0002-1562-7426"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"He Jiang","raw_affiliation_strings":["Institute of Pattern Recognition and Image Processing, Shanghai Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Institute of Pattern Recognition and Image Processing, Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036535030","display_name":"Huangkai Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"HuangKai Cai","raw_affiliation_strings":["Institute of Pattern Recognition and Image Processing, Shanghai Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Institute of Pattern Recognition and Image Processing, Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404947","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0003-4801-7162"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Institute of Pattern Recognition and Image Processing, Shanghai Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Institute of Pattern Recognition and Image Processing, Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100623154"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.44777646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","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"}}],"keywords":[{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.7893702983856201},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7857975959777832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7701109051704407},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5707042813301086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5154029130935669},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42768147587776184},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37034347653388977},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.36992016434669495},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20556706190109253}],"concepts":[{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.7893702983856201},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7857975959777832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7701109051704407},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5707042813301086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5154029130935669},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42768147587776184},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37034347653388977},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.36992016434669495},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20556706190109253},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8462182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1976416062","https://openalex.org/W2039539938","https://openalex.org/W2048801036","https://openalex.org/W2099244020","https://openalex.org/W2125188192","https://openalex.org/W2141957843"],"related_works":["https://openalex.org/W1999392235","https://openalex.org/W2075537321","https://openalex.org/W2055668825","https://openalex.org/W2059493168","https://openalex.org/W2371593620","https://openalex.org/W2156037511","https://openalex.org/W2572678357","https://openalex.org/W2019481703","https://openalex.org/W4301867275","https://openalex.org/W2790610275"],"abstract_inverted_index":{"In":[0],"this":[1,49],"paper,":[2],"we":[3,28,51],"put":[4],"forward":[5],"and":[6,13,71,125,128,162],"demonstrate":[7],"a":[8,25,57],"novel":[9],"method":[10],"in":[11,30,34],"image":[12],"video":[14],"detail":[15,62],"enhancement--":[16],"in-place":[17,76],"residual":[18,22,38],"homogeneity":[19,23],"(IP).":[20],"In-place":[21],"is":[24,95,116,155],"regular":[26],"law":[27],"find":[29],"testing":[31],"different":[32,42],"blocks":[33,39],"database,":[35],"that":[36,53,82,152],"is,":[37],"with":[40,157],"slight":[41],"resolutions":[43],"hold":[44],"homogenous":[45],"structures.":[46],"By":[47],"learning":[48],"homogeneity,":[50],"guess":[52],"it":[54,140],"might":[55],"be":[56,142],"good":[58,158],"description":[59],"of":[60,149],"image's":[61],"layer.":[63],"Then":[64],"images":[65,110],"are":[66],"enhanced":[67],"by":[68,73,87],"designed":[69],"framework":[70],"accelerated":[72],"proposed":[74],"fast":[75],"search":[77],"method.":[78],"Unlike":[79],"most":[80,132],"algorithms":[81,99],"need":[83],"to":[84,89,119],"adjust":[85],"parameters":[86],"manual":[88],"get":[90],"best":[91],"performance,":[92],"our":[93,105,153],"approach":[94],"adaptive.":[96],"Besides,":[97],"many":[98],"will":[100],"change":[101],"images'":[102],"intensity,":[103],"but":[104,137],"IP":[106,115],"can":[107,141],"keep":[108],"natural":[109],"from":[111],"over":[112],"enhancement.":[113],"Moreover,":[114],"also":[117],"robust":[118,156],"low":[120],"bit":[121],"rate":[122],"H.265":[123],"encoder":[124],"decoder":[126],"system":[127],"runs":[129],"faster":[130],"than":[131],"popular":[133],"methods.":[134],"The":[135],"last":[136],"not":[138],"least,":[139],"easily":[143],"FPGA":[144],"implemented":[145],"as":[146],"well.":[147],"Numbers":[148],"experiments":[150],"testify":[151],"algorithm":[154],"performance":[159],"both":[160],"subjectively":[161],"objectively.":[163]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}