{"id":"https://openalex.org/W2791851475","doi":"https://doi.org/10.1109/cisp-bmei.2017.8301942","title":"Single-image super-resolution based on regularization with stationary gradient fidelity","display_name":"Single-image super-resolution based on regularization with stationary gradient fidelity","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2791851475","doi":"https://doi.org/10.1109/cisp-bmei.2017.8301942","mag":"2791851475"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8301942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8301942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5101142834","display_name":"Lejun Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lejun Yu","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101409877","display_name":"Siming Cao","orcid":"https://orcid.org/0000-0002-1558-7305"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siming Cao","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766736","display_name":"Jun He","orcid":"https://orcid.org/0000-0002-3017-2108"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun He","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102018225","display_name":"Bo Sun","orcid":"https://orcid.org/0000-0003-1168-1051"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Sun","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028926076","display_name":"Feng Dai","orcid":"https://orcid.org/0000-0002-6660-6166"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Dai","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101142834"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.60090563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9932000041007996,"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":0.9900000095367432,"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/fidelity","display_name":"Fidelity","score":0.8095303773880005},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7696238160133362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5673137903213501},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.547261118888855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5331100225448608},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5265600681304932},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47863665223121643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4501854181289673},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39629584550857544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33973756432533264},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33871105313301086},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.05708515644073486}],"concepts":[{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.8095303773880005},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7696238160133362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5673137903213501},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.547261118888855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5331100225448608},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5265600681304932},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47863665223121643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4501854181289673},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39629584550857544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33973756432533264},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33871105313301086},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.05708515644073486}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8301942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8301942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1966639659","https://openalex.org/W1995228944","https://openalex.org/W2006140817","https://openalex.org/W2049237558","https://openalex.org/W2103824707","https://openalex.org/W2111454493","https://openalex.org/W2114398647","https://openalex.org/W2121927366","https://openalex.org/W2129613727","https://openalex.org/W2131349449","https://openalex.org/W2133665775","https://openalex.org/W2150490197","https://openalex.org/W2163935418","https://openalex.org/W2295360745","https://openalex.org/W6675124754","https://openalex.org/W6676981982","https://openalex.org/W6683680428"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W4248383205","https://openalex.org/W4234745530","https://openalex.org/W2146383839","https://openalex.org/W2231829109","https://openalex.org/W2789577489","https://openalex.org/W2372185929"],"abstract_inverted_index":{"Single-image":[0],"super-resolution,":[1],"reconstructing":[2],"a":[3,9,19,39,138],"high":[4],"resolution":[5,11],"(HR)":[6],"image":[7,57,63,106,111],"from":[8],"low":[10],"(LR)":[12],"one,":[13],"is":[14,24,38,50,85,120],"an":[15,129],"ill-posed":[16,22],"problem.":[17],"Regularization,":[18],"method":[20,135,153],"for":[21],"problem,":[23],"widely":[25],"used":[26,121],"in":[27,35,74,91],"super-resolution.":[28,47],"The":[29],"definition":[30],"of":[31,44,55,61,82,104,141,160],"the":[32,42,53,66,71,80,98,102,108,124],"fidelity":[33,49,84,99,132],"term":[34,100],"regularization":[36,45,125],"energy":[37,54,103],"key":[40],"to":[41,96,122,136],"performance":[43],"based":[46],"Traditional":[48],"defined":[51],"as":[52,101],"error":[56,105,130],"between":[58,107],"down-sampled":[59],"version":[60],"HR":[62,110,162],"estimated":[64,109],"and":[65,113,157],"observed":[67],"LR":[68],"image.":[69,163],"Since":[70],"mpixels":[72],"not":[73,78],"sampled":[75],"positions":[76],"are":[77],"considered,":[79],"gradient":[81,118,133,140],"traditional":[83,92],"non-stationary.":[86],"To":[87],"avoid":[88],"this":[89],"problem":[90],"fidelity,":[93],"we":[94,127],"propose":[95,128],"define":[97],"estimate":[112,137],"its":[114],"blurred":[115],"version.":[116],"When":[117],"decent":[119],"optimize":[123],"energy,":[126],"interpolation":[131],"(EIFG)":[134],"stationary":[139],"proposed":[142],"fidelity.":[143],"Compared":[144],"with":[145],"other":[146],"methods,":[147],"experimental":[148],"results":[149],"show":[150],"that":[151],"our":[152],"improve":[154],"both":[155],"qualitative":[156],"quantitative":[158],"performances":[159],"reconstructed":[161]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
