{"id":"https://openalex.org/W2062662858","doi":"https://doi.org/10.1109/tvlsi.2012.2230034","title":"High-Efficiency Customized Coarse-Grained Dynamically Reconfigurable Architecture for JPEG2000","display_name":"High-Efficiency Customized Coarse-Grained Dynamically Reconfigurable Architecture for JPEG2000","publication_year":2012,"publication_date":"2012-12-27","ids":{"openalex":"https://openalex.org/W2062662858","doi":"https://doi.org/10.1109/tvlsi.2012.2230034","mag":"2062662858"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2012.2230034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2012.2230034","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-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/A5034073130","display_name":"Xin Zhao","orcid":"https://orcid.org/0000-0002-9088-3673"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xin Zhao","raw_affiliation_strings":["School of Engineering, University of Edinburgh, Edinburgh, U.K","School of Engineering, University of Edinburgh, Edinburgh, UK;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"School of Engineering, University of Edinburgh, Edinburgh, UK;","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001069449","display_name":"Ahmet T. Erdogan","orcid":"https://orcid.org/0000-0003-2451-9395"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ahmet T. Erdogan","raw_affiliation_strings":["School of Engineering, University of Edinburgh, Edinburgh, U.K","School of Engineering, University of Edinburgh, Edinburgh, UK;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"School of Engineering, University of Edinburgh, Edinburgh, UK;","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022272531","display_name":"Tughrul Arslan","orcid":"https://orcid.org/0000-0001-8176-5803"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tughrul Arslan","raw_affiliation_strings":["School of Engineering, University of Edinburgh, Edinburgh, U.K","School of Engineering, University of Edinburgh, Edinburgh, UK;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"School of Engineering, University of Edinburgh, Edinburgh, UK;","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":0.869,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73841029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":"12","first_page":"2343","last_page":"2348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9854000210762024,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/computer-science","display_name":"Computer science","score":0.8249019384384155},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.8155293464660645},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.6998697519302368},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6842955350875854},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6342849731445312},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5187764167785645},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5099571943283081},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4821135997772217},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4564914107322693},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4406542479991913},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4236568808555603},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22011283040046692},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21645164489746094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11753246188163757},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.09971129894256592},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08097365498542786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8249019384384155},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.8155293464660645},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.6998697519302368},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6842955350875854},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6342849731445312},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5187764167785645},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5099571943283081},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4821135997772217},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4564914107322693},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4406542479991913},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4236568808555603},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22011283040046692},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21645164489746094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11753246188163757},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.09971129894256592},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08097365498542786},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvlsi.2012.2230034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2012.2230034","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W61290314","https://openalex.org/W105298322","https://openalex.org/W1506952305","https://openalex.org/W1565844915","https://openalex.org/W1997328178","https://openalex.org/W2030540272","https://openalex.org/W2031120031","https://openalex.org/W2043264416","https://openalex.org/W2077905431","https://openalex.org/W2097602901","https://openalex.org/W2110708329","https://openalex.org/W2116244303","https://openalex.org/W2117700758","https://openalex.org/W2138871304","https://openalex.org/W2147071988","https://openalex.org/W2160956146","https://openalex.org/W2548125524","https://openalex.org/W6602538184","https://openalex.org/W6680439080"],"related_works":["https://openalex.org/W2390873329","https://openalex.org/W2151403598","https://openalex.org/W2385039112","https://openalex.org/W2137460601","https://openalex.org/W2354616978","https://openalex.org/W2357744830","https://openalex.org/W2006865992","https://openalex.org/W2375053416","https://openalex.org/W2387270800","https://openalex.org/W2375227896"],"abstract_inverted_index":{"This":[0],"brief":[1],"presents":[2],"an":[3,12,24],"efficient":[4],"implementation":[5],"of":[6,15,73,112],"JPEG2000":[7,37,102],"encoding":[8,38,61],"algorithm":[9,39],"based":[10],"on":[11],"architecture":[13,52,69,106],"consisting":[14],"a":[16,71,83],"coarse-grained":[17],"dynamically":[18,54],"reconfigurable":[19],"instruction":[20,100],"cell":[21],"array":[22],"and":[23,114],"embedded":[25],"advanced":[26],"RISC":[27],"machine":[28],"core.":[29],"In":[30],"this":[31],"implementation,":[32],"different":[33,57],"tasks":[34,58],"within":[35],"the":[36,60,67,104],"are":[40],"allocated":[41],"with":[42,92],"proper":[43],"computational":[44],"resources":[45],"to":[46,75,81],"achieve":[47],"high":[48],"throughput.":[49],"The":[50],"proposed":[51,68,105],"is":[53],"reconfigured":[55],"for":[56],"during":[59],"process.":[62],"Simulation":[63],"results":[64],"demonstrate":[65],"that":[66],"provides":[70,107],"throughput":[72,113],"up":[74],"52.1":[76],"f/s":[77],"(or":[78],"19.18":[79],"ms/frame)":[80],"encode":[82],"256":[84,86],"\u00d7":[85],"standard":[87],"Lena":[88],"test":[89],"image.":[90],"Compared":[91],"various":[93],"digital":[94],"signal":[95],"processor":[96],"&":[97],"very":[98],"long":[99],"word-based":[101],"solutions,":[103],"significant":[108],"advantages":[109],"in":[110],"terms":[111],"energy":[115],"consumption.":[116]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
