{"id":"https://openalex.org/W3090791632","doi":"https://doi.org/10.1109/icip40778.2020.9191253","title":"SR<sup>2</sup>: Super-Resolution With Structure-Aware Reconstruction","display_name":"SR<sup>2</sup>: Super-Resolution With Structure-Aware Reconstruction","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3090791632","doi":"https://doi.org/10.1109/icip40778.2020.9191253","mag":"3090791632"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9191253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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/A5069046837","display_name":"Franziska Schirrmacher","orcid":"https://orcid.org/0000-0003-1511-7669"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Franziska Schirrmacher","raw_affiliation_strings":["IT Security Infrastructures Lab, Computer Science, Univ. of Erlangen, N\u00fcrnberg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT Security Infrastructures Lab, Computer Science, Univ. of Erlangen, N\u00fcrnberg","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008546345","display_name":"Benedikt Lorch","orcid":"https://orcid.org/0000-0002-7843-4656"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benedikt Lorch","raw_affiliation_strings":["IT Security Infrastructures Lab, Computer Science, Univ. of Erlangen, N\u00fcrnberg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT Security Infrastructures Lab, Computer Science, Univ. of Erlangen, N\u00fcrnberg","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088859781","display_name":"Bernhard Stimpel","orcid":"https://orcid.org/0000-0002-0573-9838"},"institutions":[{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bernhard Stimpel","raw_affiliation_strings":["Pattern Recognition Lab, Computer Science, Univ. of Erlangen, N\u00fcrnberg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Computer Science, Univ. of Erlangen, N\u00fcrnberg","institution_ids":["https://openalex.org/I4210156583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101890996","display_name":"Thomas K\u00f6hler","orcid":"https://orcid.org/0000-0002-6377-6012"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Kohler","raw_affiliation_strings":["e.solutions GmbH, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"e.solutions GmbH, Erlangen, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049250339","display_name":"Christian Rie\u00df","orcid":"https://orcid.org/0000-0002-5556-5338"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Riess","raw_affiliation_strings":["IT Security Infrastructures Lab, Computer Science, Univ. of Erlangen, N\u00fcrnberg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT Security Infrastructures Lab, Computer Science, Univ. of Erlangen, N\u00fcrnberg","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1958,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50695019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"533","last_page":"537"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9975000023841858,"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":0.9973000288009644,"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/upsampling","display_name":"Upsampling","score":0.9051141738891602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8056227564811707},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7590441703796387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.636685848236084},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5371620655059814},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4998142719268799},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47611507773399353},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4711626470088959},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.45639297366142273},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44844183325767517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38979285955429077},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3254460096359253}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.9051141738891602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8056227564811707},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7590441703796387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.636685848236084},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5371620655059814},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4998142719268799},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47611507773399353},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4711626470088959},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.45639297366142273},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44844183325767517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38979285955429077},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3254460096359253},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip40778.2020.9191253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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":30,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1885185971","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2302255633","https://openalex.org/W2335728318","https://openalex.org/W2503339013","https://openalex.org/W2809482722","https://openalex.org/W2866634454","https://openalex.org/W2891690292","https://openalex.org/W2892257692","https://openalex.org/W2913340405","https://openalex.org/W2945786113","https://openalex.org/W2951517617","https://openalex.org/W2954930822","https://openalex.org/W2963377935","https://openalex.org/W2963470893","https://openalex.org/W2964101377","https://openalex.org/W2964277374","https://openalex.org/W2972424968","https://openalex.org/W2982041717","https://openalex.org/W2983339877","https://openalex.org/W3003643489","https://openalex.org/W6698183232","https://openalex.org/W6703116779","https://openalex.org/W6724673846","https://openalex.org/W6753074096","https://openalex.org/W6754730538","https://openalex.org/W6767563286"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W4310746709","https://openalex.org/W4385574037","https://openalex.org/W4386075645","https://openalex.org/W4306309518"],"abstract_inverted_index":{"Image":[0],"reconstruction":[1],"is":[2,22,75,103],"particularly":[3],"difficult":[4],"when":[5],"the":[6,16,19,25,33,48,114],"type":[7],"of":[8,45,87,149],"image":[9],"degradations":[10],"are":[11],"unknown.":[12],"This":[13],"may":[14,37],"be":[15,38],"case":[17],"if":[18],"acquisition":[20],"device":[21],"unknown":[23],"or":[24,55],"images":[26],"stem":[27],"from":[28,47,53],"an":[29],"uncontrolled":[30],"environment":[31],"like":[32],"internet.":[34],"Yet,":[35],"it":[36],"important":[39],"to":[40,77,105,109,131],"reconstruct":[41],"a":[42,66,84,95],"specific":[43],"piece":[44],"information":[46,64],"image,":[49],"such":[50,62],"as":[51],"digits":[52],"signs":[54],"vehicle":[56],"license":[57],"plates.":[58],"Existing":[59],"works":[60],"incorporate":[61],"prior":[63],"with":[65],"sequential":[67,145],"super-resolution":[68,91,136],"and":[69,90,108,135,153],"classification":[70,89,134,155],"pipeline.":[71],"However,":[72],"this":[73,80,101,128],"approach":[74,86],"prone":[76],"error":[78],"propagation.In":[79],"work,":[81],"we":[82,143],"propose":[83],"new":[85],"connecting":[88],"in":[92,147],"parallel":[93],"within":[94],"multi-task":[96],"network.":[97],"We":[98,124],"show":[99,126],"that":[100,127],"architecture":[102],"able":[104],"preserve":[106],"structures":[107],"remove":[110],"noisy":[111,122],"pixels":[112],"although":[113],"network":[115],"itself":[116],"has":[117],"never":[118],"been":[119],"trained":[120],"on":[121],"data.":[123],"also":[125],"design":[129],"allows":[130],"transparently":[132],"trade":[133],"quality.":[137],"On":[138],"upsampling":[139],"by":[140,151,156],"factor":[141],"4,":[142],"outperform":[144],"approaches":[146],"terms":[148],"SSIM":[150],"10%":[152],"improve":[154],"69%.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
