{"id":"https://openalex.org/W3180970394","doi":"https://doi.org/10.2352/issn.2470-1173.2021.10.ipas-238","title":"Benchmark of Similar Blocks Search under Noisy Conditions","display_name":"Benchmark of Similar Blocks Search under Noisy Conditions","publication_year":2021,"publication_date":"2021-01-18","ids":{"openalex":"https://openalex.org/W3180970394","doi":"https://doi.org/10.2352/issn.2470-1173.2021.10.ipas-238","mag":"3180970394"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2021.10.ipas-238","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2021.10.ipas-238","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/33/10/art00006","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/33/10/art00006","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035624751","display_name":"Oleksii Rubel","orcid":"https://orcid.org/0000-0001-6206-3988"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oleksii Rubel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066967954","display_name":"Rostyslav Tsekhmystro","orcid":"https://orcid.org/0000-0002-1515-7065"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rostyslav Tsekhmystro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011325512","display_name":"Vladimir Lukin","orcid":"https://orcid.org/0000-0002-1443-9685"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vladimir Lukin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090213299","display_name":"Karen Egiazarian","orcid":"https://orcid.org/0000-0002-8135-1085"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karen Egiazarian","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":0.0942,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36945657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":"10","first_page":"238","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9843999743461609,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9843999743461609,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9807999730110168,"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":0.9793999791145325,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8077374696731567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5435764789581299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32615992426872253},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09657591581344604},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.04833948612213135}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8077374696731567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5435764789581299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32615992426872253},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09657591581344604},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.04833948612213135}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2021.10.ipas-238","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2021.10.ipas-238","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/33/10/art00006","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2352/issn.2470-1173.2021.10.ipas-238","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2021.10.ipas-238","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/33/10/art00006","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3180970394.pdf","grobid_xml":"https://content.openalex.org/works/W3180970394.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370"],"abstract_inverted_index":{"A":[0,13],"similarity":[1],"search":[2],"in":[3,10,17,30,64],"images":[4,18,67],"has":[5],"become":[6],"a":[7,31,58,77],"typical":[8,88],"operation":[9],"many":[11],"applications.":[12],"presence":[14],"of":[15,23,25,33,35,49,61,70,79,90,106],"noise":[16,47,71,93],"greatly":[19],"affects":[20],"the":[21,107],"correctness":[22],"detection":[24],"similar":[26],"image":[27,36,91],"blocks,":[28],"resulting":[29],"reduction":[32],"efficiency":[34],"processing":[37],"methods,":[38],"e.g.,":[39],"non-local":[40],"denoising.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45],"study":[46],"immunity":[48],"various":[50],"distance":[51],"measures":[52],"(similarity":[53],"metrics).":[54],"Taking":[55],"into":[56],"account":[57],"wide":[59],"variety":[60],"information":[62],"content":[63],"real":[65],"life":[66],"and":[68,73,82,92,99],"variations":[69],"type":[72],"intensity.":[74],"We":[75],"propose":[76],"set":[78],"test":[80],"data":[81],"obtain":[83],"preliminary":[84],"results":[85],"for":[86,97],"several":[87],"cases":[89],"properties.":[94],"The":[95],"recommendations":[96],"metrics'":[98],"threshold":[100],"selection":[101],"are":[102],"given.":[103],"Fast":[104],"implementation":[105],"proposed":[108],"benchmark":[109],"is":[110],"realized":[111],"using":[112],"CUDA":[113],"technology.":[114]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}