{"id":"https://openalex.org/W2899856721","doi":"https://doi.org/10.1109/stc-csit.2018.8526660","title":"Assessment of Perceived Contrast for Complex Images","display_name":"Assessment of Perceived Contrast for Complex Images","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2899856721","doi":"https://doi.org/10.1109/stc-csit.2018.8526660","mag":"2899856721"},"language":"en","primary_location":{"id":"doi:10.1109/stc-csit.2018.8526660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/stc-csit.2018.8526660","pdf_url":null,"source":{"id":"https://openalex.org/S4306498307","display_name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","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/A5047728012","display_name":"Sergei Yelmanov","orcid":"https://orcid.org/0000-0002-6097-9527"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sergei Yelmanov","raw_affiliation_strings":["Special Design Office of Television Systems, Lviv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Special Design Office of Television Systems, Lviv, Ukraine","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030595904","display_name":"Yuriy Romanyshyn","orcid":"https://orcid.org/0000-0003-2794-432X"},"institutions":[{"id":"https://openalex.org/I98435010","display_name":"Lviv Polytechnic National University","ror":"https://ror.org/0542q3127","country_code":"UA","type":"education","lineage":["https://openalex.org/I98435010"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Yuriy Romanyshyn","raw_affiliation_strings":["Lviv Polytechnic National University, Lviv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Lviv Polytechnic National University, Lviv, Ukraine","institution_ids":["https://openalex.org/I98435010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047728012"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2262069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"283","last_page":"287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9955000281333923,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9955000281333923,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.989300012588501,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9848999977111816,"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/contrast","display_name":"Contrast (vision)","score":0.8614872097969055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6509830951690674},{"id":"https://openalex.org/keywords/monochrome","display_name":"Monochrome","score":0.6326900720596313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.604511559009552},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6039842963218689},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5775709748268127},{"id":"https://openalex.org/keywords/image-contrast","display_name":"Image contrast","score":0.5182211995124817},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5045229196548462},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.4799225926399231},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4759228527545929},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4371335208415985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3730807304382324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33943235874176025},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1897883117198944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1620120108127594},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06142362952232361}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.8614872097969055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6509830951690674},{"id":"https://openalex.org/C2776754580","wikidata":"https://www.wikidata.org/wiki/Q10770146","display_name":"Monochrome","level":2,"score":0.6326900720596313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.604511559009552},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6039842963218689},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5775709748268127},{"id":"https://openalex.org/C3018302497","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Image contrast","level":2,"score":0.5182211995124817},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5045229196548462},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.4799225926399231},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4759228527545929},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4371335208415985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3730807304382324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33943235874176025},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1897883117198944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1620120108127594},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06142362952232361},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/stc-csit.2018.8526660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/stc-csit.2018.8526660","pdf_url":null,"source":{"id":"https://openalex.org/S4306498307","display_name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1510555363","https://openalex.org/W2140952319","https://openalex.org/W4231606319","https://openalex.org/W6813587332"],"related_works":["https://openalex.org/W155195423","https://openalex.org/W2767394509","https://openalex.org/W2066088499","https://openalex.org/W2375935322","https://openalex.org/W1596049441","https://openalex.org/W3021537896","https://openalex.org/W2620647139","https://openalex.org/W2787271994","https://openalex.org/W365093435","https://openalex.org/W2894666603"],"abstract_inverted_index":{"This":[0,34,110],"paper":[1,35,111],"discusses":[2],"the":[3,7,18,21,25,42,55,67,77,85,89,93,99,104,107,112,117],"problem":[4,15],"of":[5,11,16,20,24,29,47,54,58,64,80,88,92,96,106,114,116,123],"assessing":[6,41,76],"overall":[8],"perceived":[9,26,43,56,78,124],"contrast":[10,28,46,57,79,125],"complex":[12,49,127],"images.":[13],"The":[14],"increasing":[17],"accuracy":[19],"quantitative":[22,121],"evaluation":[23],"global":[27],"image":[30,50,83,97],"is":[31],"being":[32],"solved.":[33],"proposes":[36],"a":[37,48,72,81],"histogram-based":[38],"method":[39],"to":[40,75,120],"complete":[44],"integral":[45],"based":[51],"on":[52],"estimates":[53],"elementary":[59],"two-element":[60],"images":[61,129],"for":[62,126],"pairs":[63],"elements":[65],"in":[66],"image.":[68],"We":[69],"also":[70],"offer":[71],"new":[73],"approach":[74],"simple":[82],"as":[84],"summary":[86],"value":[87,105],"absolute":[90],"deviations":[91],"brightness":[94],"values":[95],"from":[98],"adaptation":[100,108],"level,":[101],"divided":[102],"by":[103],"level.":[109],"results":[113],"research":[115],"various":[118],"techniques":[119],"assessment":[122],"monochrome":[128],"are":[130],"presented.":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}