{"id":"https://openalex.org/W2098987432","doi":"https://doi.org/10.1109/icpr.1994.576216","title":"Super-resolution estimation of edge images","display_name":"Super-resolution estimation of edge images","publication_year":2002,"publication_date":"2002-12-17","ids":{"openalex":"https://openalex.org/W2098987432","doi":"https://doi.org/10.1109/icpr.1994.576216","mag":"2098987432"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.1994.576216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.1994.576216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 12th International Conference on Pattern Recognition","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/A5079988294","display_name":"E. Fussfeld","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"E. Fussfeld","raw_affiliation_strings":["Department of Electrical Engineering, Israel Institute of Technology-Technion, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Israel Institute of Technology-Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113698405","display_name":"Y.Y. Zeevi","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Y.Y. Zeevi","raw_affiliation_strings":["Department of Electrical Engineering, Israel Institute of Technology-Technion, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Israel Institute of Technology-Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079988294"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":0.2313,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50412286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"11","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9979000091552734,"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/resolution","display_name":"Resolution (logic)","score":0.6031913161277771},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5806989669799805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5763887763023376},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5753054022789001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.570347011089325},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5618776679039001},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.548905611038208},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5401678085327148},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.5017604827880859},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4906958341598511},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.47427162528038025},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4475751221179962},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.44587212800979614},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.4407814145088196},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43697983026504517},{"id":"https://openalex.org/keywords/maximum-entropy-markov-model","display_name":"Maximum-entropy Markov model","score":0.42543691396713257},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4241597056388855},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.41716066002845764},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4135340452194214},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.39827343821525574},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.39037418365478516},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3394545912742615},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2801353335380554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24944260716438293},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.17816191911697388},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13150379061698914},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09941902756690979},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08300912380218506}],"concepts":[{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6031913161277771},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5806989669799805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5763887763023376},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5753054022789001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.570347011089325},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5618776679039001},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.548905611038208},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5401678085327148},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5017604827880859},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4906958341598511},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.47427162528038025},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4475751221179962},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44587212800979614},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.4407814145088196},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43697983026504517},{"id":"https://openalex.org/C196956702","wikidata":"https://www.wikidata.org/wiki/Q6795829","display_name":"Maximum-entropy Markov model","level":5,"score":0.42543691396713257},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4241597056388855},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.41716066002845764},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4135340452194214},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.39827343821525574},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.39037418365478516},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3394545912742615},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2801353335380554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24944260716438293},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.17816191911697388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13150379061698914},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09941902756690979},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08300912380218506},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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},{"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/icpr.1994.576216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.1994.576216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 12th International Conference on Pattern Recognition","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":9,"referenced_works":["https://openalex.org/W1554544485","https://openalex.org/W1968681683","https://openalex.org/W2020999234","https://openalex.org/W2035856912","https://openalex.org/W2084538386","https://openalex.org/W2098987432","https://openalex.org/W2125838338","https://openalex.org/W2315104614","https://openalex.org/W6633362792"],"related_works":["https://openalex.org/W2161328464","https://openalex.org/W2382132287","https://openalex.org/W2363374456","https://openalex.org/W2130519334","https://openalex.org/W2379333870","https://openalex.org/W1985664346","https://openalex.org/W2134386692","https://openalex.org/W2144938464","https://openalex.org/W2328615849","https://openalex.org/W2361306765"],"abstract_inverted_index":{"A":[0,23,43],"hidden":[1,24,97],"Markov":[2,98],"model,":[3],"which":[4,52,92],"describes":[5],"the":[6,13,30,35,57,82,90,94,114,119,134,138],"evolution":[7,117],"of":[8,27,32,47,65,89,116,127],"a":[9,40,48,63,71,74,104],"(binary)":[10],"edge-image":[11],"along":[12,34,118],"resolution":[14,36,120],"axis,":[15,121],"is":[16,53,62,78,100],"presented.":[17],"The":[18,59,96,130],"model":[19,72,99,135],"integrates":[20],"two":[21],"layers:":[22],"layer":[25,45],"consists":[26,46],"sources":[28],"having":[29],"ability":[31],"\"breeding\"":[33],"axis":[37],"according":[38],"to":[39,73,80,102,109],"Markovian":[41],"rule.":[42],"second":[44],"Gibbs":[49],"random":[50],"field":[51],"defined":[54],"by":[55,85],"all":[56],"sources.":[58],"available":[60],"image":[61],"realization":[64],"this":[66,128],"field.":[67],"After":[68],"fitting":[69],"such":[70],"given":[75],"pyramid,":[76],"it":[77],"possible":[79],"estimate":[81],"super-resolution":[83,139],"images":[84],"synthesizing":[86],"additional":[87],"levels":[88],"process":[91,115],"created":[93],"pyramid.":[95],"found":[101],"be":[103],"useful":[105],"tool,":[106],"allowing":[107],"us":[108],"incorporate":[110],"selected":[111],"properties":[112,131],"in":[113],"while":[122],"simultaneously":[123],"providing":[124],"an":[125],"interpretation":[126],"process.":[129],"incorporated":[132],"into":[133],"significantly":[136],"influence":[137],"image.":[140]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}