{"id":"https://openalex.org/W2953354325","doi":null,"title":"Supervised Deep Kriging for Single-Image Super-Resolution","display_name":"Supervised Deep Kriging for Single-Image Super-Resolution","publication_year":2018,"publication_date":"2018-10-09","ids":{"openalex":"https://openalex.org/W2953354325","mag":"2953354325"},"language":"en","primary_location":{"id":"pmh:oai:HAL:hal-01944871v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-01944871","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"German Conference on Pattern Recognition 2018, Oct 2018, Stuttgart, Germany","raw_type":"info:eu-repo/semantics/conferenceObject"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01944871","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013478881","display_name":"Gianni Franchi","orcid":"https://orcid.org/0000-0002-2184-1381","observed_orcids":["https://orcid.org/0000-0002-2184-1381"]},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Franchi, Gianni","raw_affiliation_strings":["Institute for Vision and Graphics, University of Siegen, Siegen, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Vision and Graphics, University of Siegen, Siegen, Germany#TAB#","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006278133","display_name":"Angela Yao","orcid":"https://orcid.org/0000-0001-7418-6141","observed_orcids":["https://orcid.org/0000-0001-7418-6141"]},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yao, Angela","raw_affiliation_strings":["University of Bonn\u2028Bonn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bonn\u2028Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kolb, Andreas","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kolb, Andreas","raw_affiliation_strings":["Institute for Vision and Graphics, University of Siegen, Siegen, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Vision and Graphics, University of Siegen, Siegen, Germany#TAB#","institution_ids":["https://openalex.org/I206895457"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":9.999999747378752e-05,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/single-image-super-resolution","display_name":"single image super-resolution","score":0.984000027179718},{"id":"https://openalex.org/keywords/kriging","display_name":"kriging","score":0.9330000281333923},{"id":"https://openalex.org/keywords/geostatistics","display_name":"geostatistics","score":0.7730000019073486},{"id":"https://openalex.org/keywords/spatial-interpolation","display_name":"spatial interpolation","score":0.8479999899864197},{"id":"https://openalex.org/keywords/end-to-end-learning","display_name":"end-to-end learning","score":0.8379999995231628},{"id":"https://openalex.org/keywords/covariance-matrix-inversion","display_name":"covariance matrix inversion","score":0.6240000128746033}],"concepts":[{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.9030729532241821},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6831516027450562},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5654693245887756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5510087013244629},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5359936952590942},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5001575946807861},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48352742195129395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46828553080558777},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4243614375591278},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42203861474990845},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.41978126764297485},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3780587613582611},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3642290532588959},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30447834730148315},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22448918223381042},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"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":"pmh:oai:HAL:hal-01944871v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-01944871","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"German Conference on Pattern Recognition 2018, Oct 2018, Stuttgart, Germany","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01944871v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-01944871","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"German Conference on Pattern Recognition 2018, Oct 2018, Stuttgart, Germany","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1584320927","https://openalex.org/W1593939129","https://openalex.org/W1598281290","https://openalex.org/W1930824406","https://openalex.org/W1992408872","https://openalex.org/W2057065563","https://openalex.org/W2097074225","https://openalex.org/W2112796928","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2143022286","https://openalex.org/W2157494358","https://openalex.org/W2210246637","https://openalex.org/W2214802144","https://openalex.org/W2296616510","https://openalex.org/W2580080206","https://openalex.org/W2949117887","https://openalex.org/W2964135722"],"related_works":["https://openalex.org/W3161622828","https://openalex.org/W1981748102","https://openalex.org/W2548252668","https://openalex.org/W3176800323","https://openalex.org/W2949588346","https://openalex.org/W3197270817","https://openalex.org/W4404671307","https://openalex.org/W1885185971","https://openalex.org/W2778985598","https://openalex.org/W7001200827"],"abstract_inverted_index":{"We":[0,63],"propose":[1,48],"a":[2,16,26,49,56,73,98],"novel":[3],"single-image":[4],"super-resolution":[5,85,95],"approach":[6],"based":[7,24],"on":[8,25],"the":[9,36,40,65,94],"geostatistical":[10],"method":[11,42],"of":[12,29,43],"kriging.":[13],"Kriging":[14],"is":[15,112],"zero-bias":[17],"minimum-variance":[18],"estimator":[19],"that":[20,76],"performs":[21],"spatial":[22],"interpolation":[23],"weighted":[27],"average":[28],"known":[30,99],"observations.":[31],"Rather":[32],"than":[33],"solving":[34],"for":[35,115],"kriging":[37,66,70],"weights":[38],"via":[39],"traditional":[41],"inverting":[44],"covariance":[45],"matrices,":[46],"we":[47,54,102],"supervised":[50],"form":[51],"in":[52],"which":[53,111],"learn":[55],"deep":[57,117],"network":[58,75,82],"to":[59,105],"generate":[60],"said":[61],"weights.":[62],"combine":[64],"weight":[67],"generation":[68],"and":[69,108],"process":[71,96],"into":[72],"joint":[74],"can":[77],"be":[78],"learned":[79],"end-to-end.":[80],"Our":[81],"achieves":[83],"competitive":[84],"results":[86],"as":[87],"other":[88,116],"state-of-the-art":[89],"methods.":[90],"In":[91],"addition,":[92],"since":[93],"follows":[97],"statistical":[100],"framework,":[101],"are":[103],"able":[104],"estimate":[106],"bias":[107],"variance,":[109],"something":[110],"rarely":[113],"possible":[114],"networks.":[118]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2025-10-10T00:00:00"}
