{"id":"https://openalex.org/W2583533682","doi":"https://doi.org/10.1109/icinfa.2016.7832093","title":"Coupled deep auto-encoder with image edge information for image super-resolution","display_name":"Coupled deep auto-encoder with image edge information for image super-resolution","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2583533682","doi":"https://doi.org/10.1109/icinfa.2016.7832093","mag":"2583533682"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2016.7832093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2016.7832093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Information and Automation (ICIA)","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/A5001751578","display_name":"Yinggan Tang","orcid":"https://orcid.org/0000-0002-7440-1742"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinggan Tang","raw_affiliation_strings":["School of Electrical Engineering. University of YanShan, Qinhuangdao, Hebei Province, China","School of Electrical Engineering, University of YanShan, Qinhuangdao, Hebei Province, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering. University of YanShan, Qinhuangdao, Hebei Province, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"School of Electrical Engineering, University of YanShan, Qinhuangdao, Hebei Province, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110419455","display_name":"Chunning Bu","orcid":"https://orcid.org/0009-0000-4114-5909"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunning Bu","raw_affiliation_strings":["School of Electrical Engineering. University of YanShan, Qinhuangdao, Hebei Province, China","School of Electrical Engineering, University of YanShan, Qinhuangdao, Hebei Province, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering. University of YanShan, Qinhuangdao, Hebei Province, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"School of Electrical Engineering, University of YanShan, Qinhuangdao, Hebei Province, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100989851","display_name":"Liying Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liying Zhao","raw_affiliation_strings":["School of Electrical Engineering. University of YanShan, Qinhuangdao, Hebei Province, China","School of Electrical Engineering, University of YanShan, Qinhuangdao, Hebei Province, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering. University of YanShan, Qinhuangdao, Hebei Province, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"School of Electrical Engineering, University of YanShan, Qinhuangdao, Hebei Province, China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001751578"],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60571937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1708","last_page":"1713"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9941999912261963,"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":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8391232490539551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7501616477966309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6952986717224121},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6785510182380676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.595094621181488},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5914183855056763},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.555172860622406},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5481458306312561},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5049856305122375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5016379356384277},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45254939794540405},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.45161157846450806},{"id":"https://openalex.org/keywords/sub-pixel-resolution","display_name":"Sub-pixel resolution","score":0.4254376292228699},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28553110361099243},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.16110166907310486}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8391232490539551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7501616477966309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6952986717224121},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6785510182380676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.595094621181488},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5914183855056763},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.555172860622406},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5481458306312561},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5049856305122375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5016379356384277},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45254939794540405},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.45161157846450806},{"id":"https://openalex.org/C152363868","wikidata":"https://www.wikidata.org/wiki/Q7630627","display_name":"Sub-pixel resolution","level":5,"score":0.4254376292228699},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28553110361099243},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.16110166907310486},{"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/icinfa.2016.7832093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2016.7832093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Information and Automation (ICIA)","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":23,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1579828764","https://openalex.org/W1978491025","https://openalex.org/W1985806826","https://openalex.org/W2016598597","https://openalex.org/W2049237558","https://openalex.org/W2087380704","https://openalex.org/W2097074225","https://openalex.org/W2100495367","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2136922672","https://openalex.org/W2147800946","https://openalex.org/W2163935418","https://openalex.org/W2167272056","https://openalex.org/W2172128189","https://openalex.org/W2344138609","https://openalex.org/W6602211262","https://openalex.org/W6634856151","https://openalex.org/W6645021582","https://openalex.org/W6683680428","https://openalex.org/W6684847397","https://openalex.org/W6704742226"],"related_works":["https://openalex.org/W1994545243","https://openalex.org/W2025530126","https://openalex.org/W2005223122","https://openalex.org/W2113253671","https://openalex.org/W2135032339","https://openalex.org/W2688472305","https://openalex.org/W2120771670","https://openalex.org/W2768026498","https://openalex.org/W2104599718","https://openalex.org/W1992520687"],"abstract_inverted_index":{"Image":[0],"super-resolution":[1,22,124],"aims":[2],"to":[3,58,127],"recover":[4],"a":[5,19,86,95],"fine-resolution":[6],"image":[7,21,48,75,97,125],"from":[8],"one":[9],"or":[10],"more":[11],"low-resolution":[12],"image(s).":[13],"In":[14,33,90],"this":[15],"paper,":[16],"we":[17,66,81,99],"propose":[18],"novel":[20],"approach":[23],"based":[24],"on":[25],"the":[26,34,37,40,52,60,63,68,91,102,107,119],"recent":[27],"development":[28],"of":[29,39,62,71],"coupled":[30],"deep":[31,109],"auto-encoder.":[32],"training":[35],"step,":[36,93],"vector":[38],"local":[41],"low":[42],"resolution":[43,47],"(LR)":[44],"and":[45,51,73,112],"high":[46],"(HR)":[49],"patches":[50,76],"corresponding":[53,103],"edge":[54],"information":[55],"are":[56],"extracted":[57],"be":[59],"input":[61],"autoencoder.":[64],"Then":[65,80],"learn":[67,82],"intrinsic":[69],"representations":[70],"LR":[72,96],"HR":[74,104],"by":[77,85],"auto-encoders":[78],"respectively.":[79],"their":[83],"relationship":[84],"two-layer":[87],"neural":[88],"network.":[89],"test":[92],"given":[94],"patch,":[98],"can":[100],"obtain":[101],"patch":[105],"through":[106],"trained":[108],"network":[110],"efficiently":[111],"effectively.":[113],"Expensive":[114],"experimentation":[115],"results":[116],"show":[117],"that":[118],"proposed":[120],"algorithm":[121],"generates":[122],"higher-quality":[123],"compared":[126],"other":[128],"state-of-the-art":[129],"methods.":[130]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}