{"id":"https://openalex.org/W2181765449","doi":null,"title":"Binary Image Compression Based on Binomial Numbers","display_name":"Binary Image Compression Based on Binomial Numbers","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2181765449","mag":"2181765449"},"language":"en","primary_location":{"id":"mag:2181765449","doi":null,"is_oa":false,"landing_page_url":"http://bmif.unde.ro/docs/20102/pdf_final_1%20Borisenko.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5044357095","display_name":"O. Borysenko","orcid":"https://orcid.org/0009-0009-7852-3227","observed_orcids":["https://orcid.org/0009-0009-7852-3227"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olexiy Borysenko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018023137","display_name":"Igor Kulyk","orcid":"https://orcid.org/0000-0003-2403-8671","observed_orcids":["https://orcid.org/0000-0003-2403-8671"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Igor Kulyk","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2403-8671","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037120441","display_name":"Sergiy Kostel","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sergiy Kostel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5051860198","display_name":"\u041e\u043b\u0435\u043d\u0430 \u041c\u0438\u0445\u0430\u0439\u043bi\u0432\u043d\u0430 \u0421\u043a\u043e\u0440\u0434i\u043d\u0430","orcid":"https://orcid.org/0000-0002-2164-5399","observed_orcids":["https://orcid.org/0000-0002-2164-5399"]},"institutions":[{"id":"https://openalex.org/I25822123","display_name":"Sumy State University","ror":"https://ror.org/01w60n236","country_code":"UA","type":"education","lineage":["https://openalex.org/I25822123"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"\u041e\u043b\u0435\u043d\u0430 \u041c\u0438\u0445\u0430\u0439\u043bi\u0432\u043d\u0430 \u0421\u043a\u043e\u0440\u0434i\u043d\u0430","raw_affiliation_strings":["Sumy State University"],"raw_orcid":"https://orcid.org/0000-0002-2164-5399","affiliations":[{"raw_affiliation_string":"Sumy State University","institution_ids":["https://openalex.org/I25822123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.6610999703407288,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.6610999703407288,"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/T11269","display_name":"Algorithms and Data Compression","score":0.3244999945163727,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.003700000001117587,"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/binary-image-compression","display_name":"binary image compression","score":0.9509999752044678},{"id":"https://openalex.org/keywords/binary-sequences","display_name":"binary sequences","score":0.7129999995231628},{"id":"https://openalex.org/keywords/image-decompression","display_name":"image decompression","score":0.6850000023841858}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.644647479057312},{"id":"https://openalex.org/C182407805","wikidata":"https://www.wikidata.org/wiki/Q2626534","display_name":"Substring","level":3,"score":0.5447744131088257},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5016396045684814},{"id":"https://openalex.org/C41054675","wikidata":"https://www.wikidata.org/wiki/Q185547","display_name":"Binomial distribution","level":2,"score":0.4663962721824646},{"id":"https://openalex.org/C9209722","wikidata":"https://www.wikidata.org/wiki/Q4914487","display_name":"Binomial approximation","level":4,"score":0.46334773302078247},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.457040399312973},{"id":"https://openalex.org/C199335787","wikidata":"https://www.wikidata.org/wiki/Q743364","display_name":"Negative binomial distribution","level":3,"score":0.4015796184539795},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37871307134628296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.257826030254364},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24312317371368408},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.13439270853996277},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.04900684952735901},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"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":"mag:2181765449","doi":null,"is_oa":false,"landing_page_url":"http://bmif.unde.ro/docs/20102/pdf_final_1%20Borisenko.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W627080915","https://openalex.org/W2331033583"],"related_works":["https://openalex.org/W7063127721","https://openalex.org/W2953541772","https://openalex.org/W7112584497","https://openalex.org/W6997647535","https://openalex.org/W3180279405","https://openalex.org/W7139719380","https://openalex.org/W2565265115","https://openalex.org/W7016257325","https://openalex.org/W7213740370","https://openalex.org/W4413941492"],"abstract_inverted_index":{"In":[0,98],"this":[1],"paper":[2,100,116],"we":[3],"present":[4],"a":[5,17,45,162],"method":[6,119,131,152,170],"of":[7,33,70,95,112,120,149,168,171],"information":[8],"compression":[9,36,82,123,135,151,172],"that":[10],"is":[11,49,60,153],"based":[12,124,173],"on":[13,125,174],"the":[14,25,30,34,37,54,57,67,71,76,80,99,101,118,126,145,150,166,169],"transition":[15,38],"from":[16,39],"binary":[18,84,96,103,113,121,163],"sequence":[19,43],"to":[20,44,62,160],"its":[21,63],"serial":[22,64],"number":[23,27,48,59,65,73,94,180],"in":[24,142,144],"binomial":[26,35,47,58,72,81,127,175,179],"system.":[28],"At":[29],"first":[31],"stage":[32,56],"an":[40],"even-weight":[41,88],"code":[42,89],"corresponding":[46],"carried":[50],"out,":[51],"then":[52],"at":[53],"second":[55],"transformed":[61],"accordingly":[66],"numerical":[68],"function":[69],"system":[74],"with":[75,165],"given":[77],"parameters.":[78],"Before":[79],"ordinary":[83],"sequences":[85,104],"are":[86,105,140],"accounted":[87],"combinations":[90],"since":[91],"computing":[92],"their":[93],"units.":[97],"initial":[102],"strings":[106],"or":[107,110],"substrings,":[108],"columns":[109],"subcolumns":[111],"images.":[114],"The":[115,129,155],"expounds":[117],"images":[122],"numbers.":[128],"considered":[130],"has":[132],"simple":[133],"image":[134,164],"and":[136],"decompression":[137],"algorithms,":[138],"which":[139],"presented":[141,156],"detail":[143],"paper.":[146],"An":[147],"estimation":[148],"implemented.":[154],"example":[157],"shows":[158],"how":[159],"compress":[161],"help":[167],"numbers,":[176],"generated":[177],"by":[178],"systems.":[181]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}