{"id":"https://openalex.org/W2983885274","doi":"https://doi.org/10.1109/igarss.2019.8900578","title":"Gradient-Based Adaptive Image Super Resolution","display_name":"Gradient-Based Adaptive Image Super Resolution","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2983885274","doi":"https://doi.org/10.1109/igarss.2019.8900578","mag":"2983885274"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8900578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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/A5006920276","display_name":"Achmad Junaidi","orcid":"https://orcid.org/0009-0001-4073-723X"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Achmad Junaidi","raw_affiliation_strings":["Department of Geomatics, National Cheng Kung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geomatics, National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056190602","display_name":"Chao\u2010Hung Lin","orcid":"https://orcid.org/0000-0001-8126-8794"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chao-Hung Lin","raw_affiliation_strings":["Department of Geomatics, National Cheng Kung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geomatics, National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113834852","display_name":"Yi\u2010Hsing Tseng","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Hsing Tseng","raw_affiliation_strings":["Department of Geomatics, National Cheng Kung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geomatics, National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001154599","display_name":"Li-Hsueh Chang","orcid":"https://orcid.org/0009-0005-5449-4776"},"institutions":[{"id":"https://openalex.org/I79291875","display_name":"Taiwan Space Agency","ror":"https://ror.org/03dcxwy38","country_code":"TW","type":"government","lineage":["https://openalex.org/I79291875"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Hsueh Chang","raw_affiliation_strings":["Satellite Image Division, National Space Organization, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Satellite Image Division, National Space Organization, Taiwan","institution_ids":["https://openalex.org/I79291875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035123362","display_name":"Shin-Chia Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I79291875","display_name":"Taiwan Space Agency","ror":"https://ror.org/03dcxwy38","country_code":"TW","type":"government","lineage":["https://openalex.org/I79291875"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shin-Chia Peng","raw_affiliation_strings":["Satellite Image Division, National Space Organization, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Satellite Image Division, National Space Organization, Taiwan","institution_ids":["https://openalex.org/I79291875"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12381312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"2774","last_page":"2777"},"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/T10531","display_name":"Advanced Vision and Imaging","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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973999857902527,"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":0.6737474203109741},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.6609783172607422},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.62579345703125},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.616701602935791},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.6115196943283081},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5733709335327148},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5343365669250488},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5045100450515747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5005722045898438},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49793386459350586},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4811228811740875},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4561868906021118},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16369476914405823},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08829742670059204},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.07591044902801514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737474203109741},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.6609783172607422},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.62579345703125},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.616701602935791},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.6115196943283081},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5733709335327148},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5343365669250488},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5045100450515747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5005722045898438},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49793386459350586},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4811228811740875},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4561868906021118},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16369476914405823},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08829742670059204},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.07591044902801514},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8900578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1566404621","https://openalex.org/W2044011870","https://openalex.org/W2061398022","https://openalex.org/W2065972666","https://openalex.org/W2081385919","https://openalex.org/W2090299879","https://openalex.org/W2097074225","https://openalex.org/W2111454493","https://openalex.org/W2114398647","https://openalex.org/W2149760002","https://openalex.org/W2163935418","https://openalex.org/W2165939075","https://openalex.org/W2784332378","https://openalex.org/W3137074406","https://openalex.org/W4285719527","https://openalex.org/W6676981982"],"related_works":["https://openalex.org/W2329932281","https://openalex.org/W64535957","https://openalex.org/W2043790407","https://openalex.org/W2348902545","https://openalex.org/W3136545447","https://openalex.org/W3107835849","https://openalex.org/W2028903165","https://openalex.org/W2029433073","https://openalex.org/W1520094168","https://openalex.org/W2065646058"],"abstract_inverted_index":{"Super-resolution":[0],"(SR)":[1],"has":[2],"been":[3],"used":[4],"in":[5,67,137],"the":[6,13,25,30,33,46,54,95,101,115,121,124,134,152,156],"realm":[7],"of":[8,15,53,88,103],"remote":[9,96],"sensing":[10,97],"to":[11,83,100,110,130,132],"improve":[12],"resolution":[14,64],"an":[16],"image":[17,27],"and":[18,48,71,148,155],"get":[19],"more":[20],"detailed":[21],"spatial":[22],"information":[23],"than":[24],"original":[26],"captured":[28],"by":[29],"sensor":[31],"on":[32,44,114,123,145],"acquisition":[34],"device.":[35],"Several":[36],"SR":[37,55],"methods":[38,56],"with":[39],"different":[40],"approaches,":[41],"only":[42],"focusing":[43],"sharpening":[45],"edges":[47,136],"forgetting":[49],"non-edge":[50],"areas.":[51,77,139],"One":[52],"that":[57,81,105,118],"utilize":[58],"prior":[59,117],"gradients,":[60],"can":[61],"produce":[62,72,133],"high":[63],"(HR)":[65],"images":[66,74],"a":[68,86],"short":[69],"time":[70],"sharp":[73,135],"for":[75,79],"nonhomogeneous":[76],"But":[78],"areas":[80],"tend":[82],"be":[84],"homogeneous,":[85],"lot":[87],"noise":[89,104,122],"appears.":[90],"This":[91,107],"problem":[92],"will":[93,119],"affect":[94],"process":[98],"due":[99],"amount":[102],"arises.":[106],"paper":[108],"offers":[109],"use":[111],"dynamic":[112],"weighting":[113],"gradient":[116],"reduce":[120],"homogeneous":[125,147],"area,":[126],"while":[127],"still":[128],"able":[129],"maintains":[131],"non-homogeneous":[138,149],"An":[140],"experimental":[141],"comparison":[142],"is":[143],"conducted":[144],"both":[146],"area":[150],"using":[151],"previous":[153],"method":[154],"proposed":[157],"method.":[158]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
