{"id":"https://openalex.org/W7096440097","doi":null,"title":"A Zisserman. Optimizing and learning for super-resolution","display_name":"A Zisserman. Optimizing and learning for super-resolution","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W7096440097"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.229.1631","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.229.1631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.macs.hw.ac.uk/bmvc2006/papers/365.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"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/A5067501341","display_name":"L. Pickup","orcid":"https://orcid.org/0000-0003-3183-297X","observed_orcids":["https://orcid.org/0000-0003-3183-297X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lyndsey C. Pickup","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Stephen J. Roberts","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stephen J. Roberts","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057678172","display_name":"Andrew Zisserman","orcid":"https://orcid.org/0000-0002-8945-8573","observed_orcids":["https://orcid.org/0000-0002-8945-8573"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Zisserman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.64609899,"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":true,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976000189781189,"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":0.9976000189781189,"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":0.0006000000284984708,"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":0.0003000000142492354,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/geometric-registration","display_name":"geometric registration","score":0.843999981880188},{"id":"https://openalex.org/keywords/homography","display_name":"homography","score":0.8529999852180481},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"maximum a posteriori estimation","score":0.6790000200271606},{"id":"https://openalex.org/keywords/image-deblurring","display_name":"image deblurring","score":0.492000013589859}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.590399980545044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5778999924659729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5442000031471252},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5407999753952026},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5052000284194946},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4602999985218048},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.4106000065803528},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.38920000195503235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36660000681877136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35760000348091125},{"id":"https://openalex.org/C56435381","wikidata":"https://www.wikidata.org/wiki/Q1196371","display_name":"Geometric transformation","level":3,"score":0.3569999933242798},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.353300005197525},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3407000005245209},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C29123130","wikidata":"https://www.wikidata.org/wiki/Q874709","display_name":"Computational geometry","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.3068000078201294},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2867000102996826},{"id":"https://openalex.org/C2777168461","wikidata":"https://www.wikidata.org/wiki/Q42196253","display_name":"Set operations","level":3,"score":0.2849999964237213},{"id":"https://openalex.org/C112416745","wikidata":"https://www.wikidata.org/wiki/Q974213","display_name":"Digital imaging","level":5,"score":0.28110000491142273},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C120515352","wikidata":"https://www.wikidata.org/wiki/Q2564580","display_name":"Image plane","level":3,"score":0.2759999930858612},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.26510000228881836}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.229.1631","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.229.1631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.macs.hw.ac.uk/bmvc2006/papers/365.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2025905082","https://openalex.org/W2066678776","https://openalex.org/W7097893857","https://openalex.org/W2555987328","https://openalex.org/W1559960425","https://openalex.org/W3171521086","https://openalex.org/W7099769808","https://openalex.org/W2163576103","https://openalex.org/W2114999104","https://openalex.org/W7097307047"],"abstract_inverted_index":{"In":[0],"multiple-image":[1],"super-resolution,":[2],"a":[3,10,21,35,40,57,133],"high":[4],"resolution":[5],"image":[6,88],"is":[7],"estimated":[8],"from":[9,118],"number":[11,134],"of":[12,20,110,135,145],"lower-resolution":[13],"images.":[14],"This":[15],"involves":[16],"computing":[17,78,85],"the":[18,49,70,81,86,103,108,111,119],"parameters":[19,109],"generative":[22],"imaging":[23],"model":[24],"(such":[25],"as":[26],"geometric":[27,52],"and":[28,31,33,61,79,83,105,127,143],"photometric":[29],"registration,":[30,82],"blur)":[32],"obtaining":[34],"MAP":[36,71],"estimate":[37,72],"by":[38,56,76,99,125],"minimizing":[39],"cost":[41],"function":[42],"including":[43,138],"an":[44],"appropriate":[45],"prior.":[46],"We":[47,92,129],"consider":[48],"quite":[50],"general":[51],"registration":[53,104],"situation":[54],"modelled":[55],"plane":[58],"projective":[59],"transformation,":[60],"make":[62],"two":[63],"novel":[64],"contributions:":[65],"(i)":[66],"in":[67],"previous":[68],"approaches":[69],"has":[73],"been":[74],"obtained":[75,98],"first":[77],"fixing":[80],"then":[84],"super-resolution":[87],"with":[89],"this":[90],"registration.":[91],"demonstrate":[93],"that":[94],"superior":[95],"estimates":[96],"are":[97,115],"optimizing":[100],"over":[101],"both":[102],"image;":[106],"(ii)":[107],"edge":[112],"preserving":[113],"prior":[114],"learnt":[116],"automatically":[117],"data,":[120],"rather":[121],"than":[122],"being":[123],"set":[124],"trial":[126],"error.":[128],"show":[130],"examples":[131],"on":[132],"real":[136],"sequences":[137],"multiple":[139],"stills,":[140],"digital":[141],"video,":[142],"DVDs":[144],"movies.":[146],"1":[147]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2025-10-27T00:00:00"}
