{"id":"https://openalex.org/W2528190368","doi":"https://doi.org/10.1109/dsmp.2016.7583541","title":"Automatic image contrast enhancement based on the generalized contrast","display_name":"Automatic image contrast enhancement based on the generalized contrast","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2528190368","doi":"https://doi.org/10.1109/dsmp.2016.7583541","mag":"2528190368"},"language":"en","primary_location":{"id":"doi:10.1109/dsmp.2016.7583541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsmp.2016.7583541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP)","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/A5087378339","display_name":"Elena Yelmanova","orcid":"https://orcid.org/0000-0002-6894-1769"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Elena Yelmanova","raw_affiliation_strings":["Institute of Telecommunications, Radioelectronics and Electronic Engineering, Lviv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, Radioelectronics and Electronic Engineering, Lviv, Ukraine","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087378339"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3324,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66077105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"203","last_page":"208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9776999950408936,"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":0.9776999950408936,"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/T13608","display_name":"Advanced Computational Techniques in Science and Engineering","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8677084445953369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6684855818748474},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6614698171615601},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6378207206726074},{"id":"https://openalex.org/keywords/contrast-enhancement","display_name":"Contrast enhancement","score":0.5719048380851746},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5177611708641052},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5026247501373291},{"id":"https://openalex.org/keywords/image-contrast","display_name":"Image contrast","score":0.4914010763168335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46067604422569275},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.4255942702293396}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.8677084445953369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6684855818748474},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6614698171615601},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6378207206726074},{"id":"https://openalex.org/C3018181011","wikidata":"https://www.wikidata.org/wiki/Q6849688","display_name":"Contrast enhancement","level":3,"score":0.5719048380851746},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5177611708641052},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5026247501373291},{"id":"https://openalex.org/C3018302497","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Image contrast","level":2,"score":0.4914010763168335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46067604422569275},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.4255942702293396},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsmp.2016.7583541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsmp.2016.7583541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP)","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":3,"referenced_works":["https://openalex.org/W2044465660","https://openalex.org/W2344743383","https://openalex.org/W4231627457"],"related_works":["https://openalex.org/W2733233723","https://openalex.org/W2625093041","https://openalex.org/W3120218437","https://openalex.org/W3211387963","https://openalex.org/W2787271994","https://openalex.org/W3031737451","https://openalex.org/W2890853391","https://openalex.org/W3009327912","https://openalex.org/W2390497845","https://openalex.org/W2393933564"],"abstract_inverted_index":{"The":[0,77],"problem":[1],"of":[2,16,21,29,43,46,54,66,73,79,85],"image":[3,23,68],"contrast":[4,11,18,55,69,90],"enhancement":[5,12,56,91],"was":[6,39],"considered.":[7],"An":[8],"algorithm":[9,88],"for":[10,70,89,95],"on":[13,27,60],"the":[14,17,33,44,47,50,62,83,86,96],"basis":[15],"distribution":[19],"function":[20],"an":[22],"that":[24],"is":[25],"oriented":[26],"preprocessing":[28],"stream":[30],"images":[31],"in":[32,36,92],"automatic":[34,93],"mode":[35,94],"real":[37,75],"time":[38],"proposed.":[40],"Experimental":[41],"researches":[42,81],"effectiveness":[45,84],"proposed":[48,87],"and":[49],"several":[51],"well-known":[52],"methods":[53],"were":[57],"conducted":[58],"based":[59],"(using)":[61],"quantitative":[63],"no-reference":[64],"metrics":[65],"generalized":[67],"a":[71],"series":[72],"complex":[74,97],"images.":[76,98],"results":[78],"experimental":[80],"confirmed":[82]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}