{"id":"https://openalex.org/W2779552423","doi":"https://doi.org/10.1587/transinf.2017edp7087","title":"Optimal Permutation Based Block Compressed Sensing for Image Compression Applications","display_name":"Optimal Permutation Based Block Compressed Sensing for Image Compression Applications","publication_year":2017,"publication_date":"2017-12-31","ids":{"openalex":"https://openalex.org/W2779552423","doi":"https://doi.org/10.1587/transinf.2017edp7087","mag":"2779552423"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2017edp7087","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2017edp7087","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/1/E101.D_2017EDP7087/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/1/E101.D_2017EDP7087/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066743684","display_name":"Yuqiang Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuqiang CAO","raw_affiliation_strings":["Chongqing University"],"affiliations":[{"raw_affiliation_string":"Chongqing University","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005741067","display_name":"Weiguo Gong","orcid":"https://orcid.org/0000-0002-8761-8529"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiguo GONG","raw_affiliation_strings":["Chongqing University"],"affiliations":[{"raw_affiliation_string":"Chongqing University","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335201","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0001-7963-4572"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo ZHANG","raw_affiliation_strings":["Chongqing Communication Institute"],"affiliations":[{"raw_affiliation_string":"Chongqing Communication Institute","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088104427","display_name":"Fanxin Zeng","orcid":"https://orcid.org/0000-0002-7320-400X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fanxin ZENG","raw_affiliation_strings":["Chongqing Communication Institute"],"affiliations":[{"raw_affiliation_string":"Chongqing Communication Institute","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024075471","display_name":"Sen Bai","orcid":"https://orcid.org/0000-0002-7146-6970"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sen BAI","raw_affiliation_strings":["Chongqing Communication Institute"],"affiliations":[{"raw_affiliation_string":"Chongqing Communication Institute","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066743684"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.4939,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66120079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"E101.D","issue":"1","first_page":"215","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973999857902527,"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/permutation","display_name":"Permutation (music)","score":0.8433265686035156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7060261368751526},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6258184909820557},{"id":"https://openalex.org/keywords/partial-permutation","display_name":"Partial permutation","score":0.6200843453407288},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6102332472801208},{"id":"https://openalex.org/keywords/random-permutation","display_name":"Random permutation","score":0.5921339392662048},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5147402286529541},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.4401009976863861},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4182162880897522},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3661259412765503},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2081446647644043},{"id":"https://openalex.org/keywords/permutation-matrix","display_name":"Permutation matrix","score":0.20712387561798096},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0852510929107666},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07277646660804749}],"concepts":[{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.8433265686035156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7060261368751526},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6258184909820557},{"id":"https://openalex.org/C145633696","wikidata":"https://www.wikidata.org/wiki/Q1401935","display_name":"Partial permutation","level":4,"score":0.6200843453407288},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6102332472801208},{"id":"https://openalex.org/C200985842","wikidata":"https://www.wikidata.org/wiki/Q3375503","display_name":"Random permutation","level":3,"score":0.5921339392662048},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5147402286529541},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.4401009976863861},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4182162880897522},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3661259412765503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2081446647644043},{"id":"https://openalex.org/C84140500","wikidata":"https://www.wikidata.org/wiki/Q851512","display_name":"Permutation matrix","level":3,"score":0.20712387561798096},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0852510929107666},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07277646660804749},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C115973184","wikidata":"https://www.wikidata.org/wiki/Q245457","display_name":"Circulant matrix","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2017edp7087","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2017edp7087","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/1/E101.D_2017EDP7087/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2017edp7087","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2017edp7087","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/1/E101.D_2017EDP7087/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1704137926","display_name":null,"funder_award_id":"NCET-11-","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6834989575","display_name":null,"funder_award_id":"61272043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2779552423.pdf","grobid_xml":"https://content.openalex.org/works/W2779552423.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1502593327","https://openalex.org/W1546108826","https://openalex.org/W1965043790","https://openalex.org/W1987090397","https://openalex.org/W2014778838","https://openalex.org/W2034268645","https://openalex.org/W2036092416","https://openalex.org/W2073437729","https://openalex.org/W2078204800","https://openalex.org/W2118016489","https://openalex.org/W2122548617","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2129812098","https://openalex.org/W2145096794","https://openalex.org/W2156427286","https://openalex.org/W2157025891","https://openalex.org/W2171783193","https://openalex.org/W2243126559","https://openalex.org/W2577323278","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W4246719347","https://openalex.org/W4211135007","https://openalex.org/W2533058927","https://openalex.org/W1887300513","https://openalex.org/W4297729179","https://openalex.org/W2391050754","https://openalex.org/W2184131469","https://openalex.org/W2074196947","https://openalex.org/W4289108309","https://openalex.org/W2904217741"],"abstract_inverted_index":{"Block":[0],"compressed":[1],"sensing":[2],"(CS)":[3],"with":[4,100,135],"optimal":[5,22,75,92,102,138],"permutation":[6,23,35,43,76,88,93,125,139],"is":[7,53,65,82,104],"a":[8,26,73],"promising":[9],"method":[10,64,96],"to":[11,32,40,45,69,122],"improve":[12],"sampling":[13,60,132],"efficiency":[14,61,133],"in":[15,59,106],"CS-based":[16],"image":[17],"compression.":[18],"However,":[19],"the":[20,34,42,50,57,86,113,117,124,131,136],"existing":[21,137],"scheme":[24],"brings":[25],"large":[27],"amount":[28,118],"of":[29,62,119],"extra":[30,51,120],"data":[31,52,121],"encode":[33,123],"information":[36,44,126],"because":[37],"it":[38],"needs":[39],"know":[41],"accomplish":[46],"signal":[47],"reconstruction.":[48],"When":[49],"taken":[54],"into":[55],"consideration,":[56],"improvement":[58],"this":[63,71,107],"limited.":[66],"In":[67],"order":[68],"solve":[70],"problem,":[72],"new":[74,101],"strategy":[77],"for":[78],"block":[79],"CS":[80],"(BCS)":[81],"proposed.":[83],"Based":[84],"on":[85],"proposed":[87,105,114],"strategy,":[89],"an":[90],"improved":[91],"based":[94,140],"BCS":[95,141],"called":[97],"BCS-NOP":[98],"(BCS":[99],"permutation)":[103],"paper.":[108],"Simulation":[109],"results":[110],"show":[111],"that":[112],"approach":[115],"reduces":[116],"significantly":[127],"and":[128],"thereby":[129],"improves":[130],"compared":[134],"approach.":[142]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
