{"id":"https://openalex.org/W1997390694","doi":"https://doi.org/10.1109/siu.2012.6204526","title":"Super resolution using block-matching motion estimation with rotation","display_name":"Super resolution using block-matching motion estimation with rotation","publication_year":2012,"publication_date":"2012-04-01","ids":{"openalex":"https://openalex.org/W1997390694","doi":"https://doi.org/10.1109/siu.2012.6204526","mag":"1997390694"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2012.6204526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2012.6204526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5043947638","display_name":"Y\u0131ld\u0131ray Anag\u00fcn","orcid":"https://orcid.org/0000-0002-7743-0709"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Yildiray Anagun","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Turkey","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041101047","display_name":"Erol Seke","orcid":"https://orcid.org/0000-0002-4860-7130"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erol Seke","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Turkey","institution_ids":["https://openalex.org/I51209816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51209816"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09203968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"137","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9972000122070312,"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":0.9962000250816345,"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":0.8384284973144531},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.7179985046386719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7173548340797424},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6808657646179199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6373249292373657},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.628507137298584},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5612420439720154},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5351207256317139},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.49531808495521545},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4507730007171631},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.44272589683532715},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.42059195041656494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3601881265640259},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34391218423843384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3136780261993408},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23586487770080566},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07041981816291809}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8384284973144531},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.7179985046386719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7173548340797424},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6808657646179199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6373249292373657},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.628507137298584},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5612420439720154},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5351207256317139},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.49531808495521545},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4507730007171631},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.44272589683532715},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.42059195041656494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3601881265640259},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34391218423843384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3136780261993408},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23586487770080566},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07041981816291809},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2012.6204526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2012.6204526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1963943638","https://openalex.org/W1978348896","https://openalex.org/W1987588986","https://openalex.org/W1988588397","https://openalex.org/W1997936537","https://openalex.org/W2013721961","https://openalex.org/W2044116474","https://openalex.org/W2054295840","https://openalex.org/W2067042811","https://openalex.org/W2087380704","https://openalex.org/W2103481871","https://openalex.org/W2117754134","https://openalex.org/W2118877769","https://openalex.org/W2138714160","https://openalex.org/W2151789205","https://openalex.org/W2239287800","https://openalex.org/W6677548441","https://openalex.org/W6690102438"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W2053820737","https://openalex.org/W2074799361","https://openalex.org/W2120943489","https://openalex.org/W3004135429","https://openalex.org/W1484667368","https://openalex.org/W1988727984","https://openalex.org/W2130582613","https://openalex.org/W2020088946","https://openalex.org/W2010111660"],"abstract_inverted_index":{"Objects":[0],"in":[1,39],"real-life":[2],"recorded":[3],"image":[4],"sequences":[5,80],"exhibit":[6],"rotation":[7,36],"along":[8],"with":[9,100],"linear":[10],"motion.":[11],"This":[12],"should":[13],"be":[14],"taken":[15],"into":[16],"consideration":[17],"when":[18],"doing":[19],"super-resolution":[20,51],"work":[21,26],"on":[22],"video":[23],"sequences.":[24],"The":[25],"presented":[27],"here":[28],"involves":[29],"determination":[30],"of":[31,37,49,55,96],"motion-vector":[32],"field":[33],"that":[34,63,68],"includes":[35],"blocks":[38],"the":[40,45,50,61,93,97],"registration":[41],"step":[42,48],"which":[43],"is":[44,90,106],"most":[46],"important":[47],"restoration":[52],"work.":[53],"Results":[54],"proposed":[56],"approach":[57],"are":[58,75],"compared":[59],"against":[60],"results":[62],"uses":[64],"exhaustive":[65],"block":[66],"search":[67],"does":[69],"not":[70],"consider":[71],"rotation.":[72],"Compared":[73],"approaches":[74],"applied":[76],"upon":[77],"low":[78],"resolution":[79,85],"generated":[81],"from":[82],"their":[83],"high":[84],"counterparts":[86],"via":[87],"downsampling.":[88],"Comparison":[89],"done":[91],"over":[92],"peak-signal-to-noise-ratios":[94],"(psnr)":[95],"output":[98],"images":[99],"improved":[101],"resolution.":[102],"Visual":[103],"quality":[104],"assessment":[105],"also":[107],"performed.":[108]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
