{"id":"https://openalex.org/W2567029727","doi":"https://doi.org/10.1145/3007669.3007717","title":"Coupled Autoencoder Network with Joint Regularizations for image super-resolution","display_name":"Coupled Autoencoder Network with Joint Regularizations for image super-resolution","publication_year":2016,"publication_date":"2016-08-19","ids":{"openalex":"https://openalex.org/W2567029727","doi":"https://doi.org/10.1145/3007669.3007717","mag":"2567029727"},"language":"en","primary_location":{"id":"doi:10.1145/3007669.3007717","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3007669.3007717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Internet Multimedia Computing and Service","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/A5051379497","display_name":"Huanhuan Zheng","orcid":"https://orcid.org/0000-0003-0928-839X"},"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":true,"raw_author_name":"Huanhuan Zheng","raw_affiliation_strings":["Computer Science Department, Xiamen University, P.R. China"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Xiamen University, P.R. China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076485255","display_name":"Yanyun Qu","orcid":"https://orcid.org/0000-0002-8926-4162"},"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":"Yanyun Qu","raw_affiliation_strings":["Computer Science Department, Xiamen University, P.R. China"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Xiamen University, P.R. China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021459831","display_name":"Kun Zeng","orcid":"https://orcid.org/0000-0002-6713-2871"},"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":"Kun Zeng","raw_affiliation_strings":["Electronic Science Department, Xiamen University, P.R. China"],"affiliations":[{"raw_affiliation_string":"Electronic Science Department, Xiamen University, P.R. China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051379497"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59618709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"114","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing 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/T11105","display_name":"Advanced Image Processing 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9958000183105469,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9943000078201294,"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/autoencoder","display_name":"Autoencoder","score":0.7805513143539429},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7036202549934387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6356662511825562},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5901131629943848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5887900590896606},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5202480554580688},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5115557312965393},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4871763586997986},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4729849100112915},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4649198353290558},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3979566991329193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2958095073699951}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7805513143539429},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7036202549934387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6356662511825562},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5901131629943848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5887900590896606},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5202480554580688},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5115557312965393},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4871763586997986},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4729849100112915},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4649198353290558},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3979566991329193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2958095073699951},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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:10.1145/3007669.3007717","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3007669.3007717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Internet Multimedia Computing and Service","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":33,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1579828764","https://openalex.org/W1791560514","https://openalex.org/W1973567017","https://openalex.org/W1978970275","https://openalex.org/W1981276685","https://openalex.org/W2020999234","https://openalex.org/W2029684123","https://openalex.org/W2049237558","https://openalex.org/W2053967781","https://openalex.org/W2061398022","https://openalex.org/W2073795739","https://openalex.org/W2076413147","https://openalex.org/W2102409316","https://openalex.org/W2107384509","https://openalex.org/W2110798204","https://openalex.org/W2113606819","https://openalex.org/W2118723395","https://openalex.org/W2121058967","https://openalex.org/W2126739786","https://openalex.org/W2127401436","https://openalex.org/W2136922672","https://openalex.org/W2140611763","https://openalex.org/W2150081556","https://openalex.org/W2157494358","https://openalex.org/W2161516371","https://openalex.org/W2165939075","https://openalex.org/W2328510092","https://openalex.org/W2344138609","https://openalex.org/W3137074406","https://openalex.org/W4231109964","https://openalex.org/W4242177601","https://openalex.org/W4246999471"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866","https://openalex.org/W2803255133"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"at":[3],"building":[4],"a":[5,58],"sparse":[6],"deep":[7],"autoencoder":[8,34,92],"network":[9,53,93],"with":[10,89],"joint":[11,84,113],"regularizations":[12,86,114],"for":[13,38,41],"image":[14,39],"super-resolution.":[15],"A":[16,51],"map":[17,59],"is":[18,54,103,110],"learned":[19],"from":[20],"the":[21,30,61,74,78,83,90,96,116,119,128],"low-resolution":[22],"feature":[23,27],"space":[24],"to":[25,56,73],"high-resolution":[26],"space.":[28],"In":[29],"training":[31],"stage,":[32],"two":[33],"networks":[35],"are":[36,87],"built":[37],"representation":[40],"low":[42,64],"resolution":[43,48,65,69,121],"images":[44,66],"and":[45,67,77],"their":[46],"high":[47,68],"counterparts,":[49],"respectively.":[50],"neural":[52],"constructed":[55],"learn":[57],"between":[60],"features":[62],"of":[63,80,118,130],"images.":[70],"Furthermore,":[71],"due":[72],"local":[75,97],"smoothness":[76],"redundancy":[79],"an":[81],"image,":[82],"variation":[85,101,108],"unified":[88],"coupled":[91],"(CAN).":[94],"For":[95,105],"smoothness,":[98],"steerable":[99],"kernel":[100],"regularization":[102,109],"designed.":[104,111],"redundancy,":[106],"non-local":[107],"The":[112],"improve":[115],"quality":[117],"super":[120],"image.":[122],"Experimental":[123],"results":[124],"on":[125],"Set5":[126],"demonstrate":[127],"effectiveness":[129],"our":[131],"proposed":[132],"method.":[133]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
