{"id":"https://openalex.org/W2293486195","doi":"https://doi.org/10.1109/icip.2015.7351157","title":"Efficient scalable compression of sparsely sampled images","display_name":"Efficient scalable compression of sparsely sampled images","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2293486195","doi":"https://doi.org/10.1109/icip.2015.7351157","mag":"2293486195"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5049569993","display_name":"Colas Schretter","orcid":"https://orcid.org/0000-0002-3938-3227"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Colas Schretter","raw_affiliation_strings":["Dept. of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","Dept. of Multimedia Technologies, iMinds, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Dept. of Multimedia Technologies, iMinds, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080595814","display_name":"David Blinder","orcid":"https://orcid.org/0000-0001-7054-0203"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"David Blinder","raw_affiliation_strings":["Dept. of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","Dept. of Multimedia Technologies, iMinds, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Dept. of Multimedia Technologies, iMinds, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009606996","display_name":"Tim Bruylants","orcid":"https://orcid.org/0000-0002-6334-2863"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Tim Bruylants","raw_affiliation_strings":["Dept. of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","Dept. of Multimedia Technologies, iMinds, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Dept. of Multimedia Technologies, iMinds, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034083500","display_name":"Peter Schelkens","orcid":"https://orcid.org/0000-0003-0908-1655"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Peter Schelkens","raw_affiliation_strings":["Dept. of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","Dept. of Multimedia Technologies, iMinds, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Dept. of Multimedia Technologies, iMinds, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088598176","display_name":"Adrian Munteanu","orcid":"https://orcid.org/0000-0001-7290-0428"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Adrian Munteanu","raw_affiliation_strings":["Dept. of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","Dept. of Multimedia Technologies, iMinds, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Dept. of Multimedia Technologies, iMinds, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2030","last_page":"2034"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9980000257492065,"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/computer-science","display_name":"Computer science","score":0.7934328317642212},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.6406242251396179},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.6156848669052124},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5834671258926392},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.573864758014679},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5518872141838074},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5364625453948975},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5319395661354065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5293629169464111},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5169155597686768},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.48430195450782776},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4621281325817108},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.4442221522331238},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3554055690765381},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.28518354892730713},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.280490517616272},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2780781388282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7934328317642212},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.6406242251396179},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.6156848669052124},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5834671258926392},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.573864758014679},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5518872141838074},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5364625453948975},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5319395661354065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5293629169464111},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5169155597686768},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.48430195450782776},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4621281325817108},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.4442221522331238},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3554055690765381},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.28518354892730713},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.280490517616272},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2780781388282776},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2015.7351157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:96063","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/efficient-scalable-compression-of-sparsely-sampled-images(fcde72d1-a6e0-4be5-b421-d9642df6c870).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3829048491","display_name":null,"funder_award_id":"FP7/2007-2013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5593277320","display_name":null,"funder_award_id":"2007-2013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5702163051","display_name":null,"funder_award_id":"FP7/2007","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W228380312","https://openalex.org/W1979849178","https://openalex.org/W2005503189","https://openalex.org/W2006262236","https://openalex.org/W2014311222","https://openalex.org/W2032182503","https://openalex.org/W2034116808","https://openalex.org/W2035657841","https://openalex.org/W2043419861","https://openalex.org/W2107861471","https://openalex.org/W2118217749","https://openalex.org/W2119883478","https://openalex.org/W2122548617","https://openalex.org/W2145096794","https://openalex.org/W2151246440","https://openalex.org/W2152132615","https://openalex.org/W2153237085","https://openalex.org/W2296616510","https://openalex.org/W3005363104","https://openalex.org/W4229991983","https://openalex.org/W4250955649","https://openalex.org/W4300580367","https://openalex.org/W4302366751","https://openalex.org/W6608862822"],"related_works":["https://openalex.org/W2023810505","https://openalex.org/W1999625740","https://openalex.org/W2560501099","https://openalex.org/W2032656843","https://openalex.org/W2441603424","https://openalex.org/W2013943429","https://openalex.org/W4385625475","https://openalex.org/W3162084246","https://openalex.org/W2021203468","https://openalex.org/W2096442341"],"abstract_inverted_index":{"Advanced":[0],"sparse":[1],"sampling":[2],"acquisition":[3],"systems":[4],"capture":[5],"only":[6],"scattered":[7],"information":[8],"from":[9],"the":[10,35,46,76,99,120,123,129],"continuous":[11],"image":[12,16,27,38,48],"domain.":[13],"Unfortunately,":[14],"conventional":[15],"encoders":[17],"are":[18],"not":[19],"yet":[20],"able":[21],"to":[22],"properly":[23],"compress":[24],"arbitrarily":[25],"subsampled":[26],"data.":[28],"This":[29],"work":[30],"introduces":[31],"a":[32,51,58,79],"system":[33,101],"leveraging":[34],"JPEG":[36,87,104],"2000":[37,105],"compression":[39,44,106,114],"framework":[40],"by":[41],"enabling":[42],"scalable":[43],"of":[45,54,107,122,132],"selected":[47],"samples.":[49],"Using":[50],"complete":[52],"dictionary":[53],"CDF":[55],"9/7":[56],"wavelets,":[57],"minimum":[59],"l":[60],"<sub":[61],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[62],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[63],"-norm":[64],"compressed":[65,133],"sensing":[66],"solution":[67],"is":[68],"recovered":[69],"which":[70],"can":[71,82],"be":[72,83],"fed":[73],"directly":[74],"into":[75],"encoder,":[77],"producing":[78],"bitstream":[80],"that":[81,98,127],"decoded":[84],"with":[85,94],"existing":[86],"2000-compliant":[88],"implementations.":[89],"Experiments":[90],"on":[91],"standard":[92],"images":[93,110,126],"quasi-random":[95],"subsampling":[96],"demonstrate":[97,119],"proposed":[100],"outperforms":[102],"regular":[103],"stacked":[108],"sample":[109],"and":[111],"quad-tree":[112],"based":[113],"for":[115,125],"point-clouds.":[116],"We":[117],"also":[118],"robustness":[121],"technique":[124],"infringe":[128],"sparsity":[130],"prior":[131],"sensing.":[134]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
