{"id":"https://openalex.org/W2295844283","doi":"https://doi.org/10.1109/icip.2015.7350759","title":"Hybrid super-resolution combining example-based single-image and interpolation-based multi-image reconstruction approaches","display_name":"Hybrid super-resolution combining example-based single-image and interpolation-based multi-image reconstruction approaches","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2295844283","doi":"https://doi.org/10.1109/icip.2015.7350759","mag":"2295844283"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7350759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5004766356","display_name":"Michel B\u00e4tz","orcid":"https://orcid.org/0000-0002-7071-7731"},"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":"Michel Batz","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-Ntirnberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-Ntirnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071477542","display_name":"Andrea Eichenseer","orcid":"https://orcid.org/0000-0003-0939-7078"},"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":"Andrea Eichenseer","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-Ntirnberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-Ntirnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034495569","display_name":"J\u00fcrgen Seiler","orcid":"https://orcid.org/0000-0001-5295-893X"},"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":"Jurgen Seiler","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-Ntirnberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-Ntirnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082498161","display_name":"Markus Jonscher","orcid":"https://orcid.org/0000-0001-7662-8791"},"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":"Markus Jonscher","raw_affiliation_strings":["Friedrich-Alexander-Universitat Erlangen-Nurnberg, Erlangen, Bayern, DE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universitat Erlangen-Nurnberg, Erlangen, Bayern, DE","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062850220","display_name":"Andr\u00e9 Kaup","orcid":"https://orcid.org/0000-0002-0929-5074"},"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":"Andre Kaup","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-Ntirnberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-Ntirnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9954,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.94359126,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"58","last_page":"62"},"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":0.998199999332428,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9930999875068665,"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/sub-pixel-resolution","display_name":"Sub-pixel resolution","score":0.7429822683334351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7279852628707886},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7203453779220581},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.7076247334480286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6796483397483826},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6320024728775024},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.6000496745109558},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5682040452957153},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.48999038338661194},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32105472683906555},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.21538767218589783}],"concepts":[{"id":"https://openalex.org/C152363868","wikidata":"https://www.wikidata.org/wiki/Q7630627","display_name":"Sub-pixel resolution","level":5,"score":0.7429822683334351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7279852628707886},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7203453779220581},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.7076247334480286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6796483397483826},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6320024728775024},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6000496745109558},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5682040452957153},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.48999038338661194},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32105472683906555},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.21538767218589783}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7350759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.800000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1561920876","https://openalex.org/W1578985305","https://openalex.org/W1829506271","https://openalex.org/W1963687718","https://openalex.org/W2057065563","https://openalex.org/W2067042811","https://openalex.org/W2087436818","https://openalex.org/W2096621047","https://openalex.org/W2097803655","https://openalex.org/W2121058967","https://openalex.org/W2149669120","https://openalex.org/W2172128189"],"related_works":["https://openalex.org/W1994545243","https://openalex.org/W2025530126","https://openalex.org/W2113253671","https://openalex.org/W2135032339","https://openalex.org/W2537408670","https://openalex.org/W2688472305","https://openalex.org/W2120771670","https://openalex.org/W2768026498","https://openalex.org/W2104599718","https://openalex.org/W2159897444"],"abstract_inverted_index":{"Achieving":[0],"a":[1,36,50,59,62,66],"higher":[2,22],"spatial":[3],"resolution":[4,23,39,45],"is":[5,54,72,86,95],"of":[6,101,121,132],"particular":[7,92],"interest":[8],"in":[9,79],"many":[10],"applications":[11],"such":[12],"as":[13,107,109],"video":[14],"surveillance":[15],"and":[16,61,103,126,134],"can":[17],"be":[18],"realized":[19],"by":[20],"employing":[21],"sensors":[24],"or":[25,41],"applying":[26],"super-resolution":[27,30,52,82,105],"methods.":[28],"Traditional":[29],"algorithms":[31,106],"are":[32],"based":[33],"on":[34,42],"either":[35],"single":[37],"low":[38,44],"image":[40],"multiple":[43],"frames.":[46],"In":[47],"this":[48],"paper,":[49],"hybrid":[51],"method":[53],"proposed":[55],"which":[56],"combines":[57],"both":[58],"single-image":[60,102],"multi-image":[63,81,104],"approach":[64],"using":[65],"soft":[67],"decision":[68],"mask.":[69],"The":[70],"mask":[71],"computed":[73],"from":[74],"the":[75,80,140],"motion":[76],"information":[77],"utilized":[78],"part.":[83],"This":[84],"concept":[85],"shown":[87],"to":[88,123],"work":[89],"for":[90,129],"one":[91],"setup":[93],"but":[94],"also":[96],"extensible":[97],"toward":[98],"other":[99,110],"combinations":[100],"well":[108],"merging":[111],"metrics.":[112],"Simulation":[113],"results":[114,138],"show":[115],"an":[116],"average":[117],"luminance":[118],"PSNR":[119],"gain":[120],"up":[122],"0.85":[124],"dB":[125,128],"0.59":[127],"upscaling":[130],"factors":[131],"2":[133],"4,":[135],"respectively.":[136],"Visual":[137],"substantiate":[139],"objective":[141],"results.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}