{"id":"https://openalex.org/W2999283151","doi":"https://doi.org/10.1109/tmm.2020.2967646","title":"Image Compression Based on Compressive Sensing: End-to-End Comparison With JPEG","display_name":"Image Compression Based on Compressive Sensing: End-to-End Comparison With JPEG","publication_year":2020,"publication_date":"2020-01-17","ids":{"openalex":"https://openalex.org/W2999283151","doi":"https://doi.org/10.1109/tmm.2020.2967646","mag":"2999283151"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2020.2967646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2967646","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5015431603","display_name":"Xin Yuan","orcid":"https://orcid.org/0000-0002-8311-7524"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xin Yuan","raw_affiliation_strings":["Bell Labs, Murray Hill, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0002-8311-7524","affiliations":[{"raw_affiliation_string":"Bell Labs, Murray Hill, NJ, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051302708","display_name":"Raziel Haimi-Cohen","orcid":"https://orcid.org/0000-0001-8417-8807"},"institutions":[{"id":"https://openalex.org/I1302485747","display_name":"Verizon (United States)","ror":"https://ror.org/02vdyxx64","country_code":"US","type":"company","lineage":["https://openalex.org/I1302485747"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raziel Haimi-Cohen","raw_affiliation_strings":["Verizon Labs, Bedminster, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0001-8417-8807","affiliations":[{"raw_affiliation_string":"Verizon Labs, Bedminster, NJ, USA","institution_ids":["https://openalex.org/I1302485747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015431603"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.9862,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.99086721,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"22","issue":"11","first_page":"2889","last_page":"2904"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7367299795150757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.693516731262207},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.6503943800926208},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.6356251835823059},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.6303892135620117},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5928597450256348},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5774502158164978},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5649427175521851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5354257822036743},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5215789675712585},{"id":"https://openalex.org/keywords/color-cell-compression","display_name":"Color Cell Compression","score":0.504369854927063},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4710146188735962},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43098583817481995},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.42903801798820496},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35998794436454773},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28453078866004944},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17901822924613953}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7367299795150757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693516731262207},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.6503943800926208},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.6356251835823059},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.6303892135620117},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5928597450256348},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5774502158164978},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5649427175521851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5354257822036743},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5215789675712585},{"id":"https://openalex.org/C82804729","wikidata":"https://www.wikidata.org/wiki/Q5148551","display_name":"Color Cell Compression","level":5,"score":0.504369854927063},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4710146188735962},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43098583817481995},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.42903801798820496},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35998794436454773},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28453078866004944},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17901822924613953},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2020.2967646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2967646","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W1530007699","https://openalex.org/W1535508119","https://openalex.org/W1591116419","https://openalex.org/W1634005169","https://openalex.org/W1779006005","https://openalex.org/W1968367053","https://openalex.org/W1986213393","https://openalex.org/W1986701690","https://openalex.org/W1992334477","https://openalex.org/W1998497852","https://openalex.org/W2001380973","https://openalex.org/W2018990310","https://openalex.org/W2022805437","https://openalex.org/W2027391485","https://openalex.org/W2028339660","https://openalex.org/W2043447070","https://openalex.org/W2045737896","https://openalex.org/W2056370875","https://openalex.org/W2082029531","https://openalex.org/W2097273723","https://openalex.org/W2099186079","https://openalex.org/W2118016489","https://openalex.org/W2120991191","https://openalex.org/W2121927366","https://openalex.org/W2122548617","https://openalex.org/W2129131372","https://openalex.org/W2129638195","https://openalex.org/W2131970298","https://openalex.org/W2133665775","https://openalex.org/W2134809980","https://openalex.org/W2137198385","https://openalex.org/W2140532408","https://openalex.org/W2142126109","https://openalex.org/W2145096794","https://openalex.org/W2154423986","https://openalex.org/W2154828290","https://openalex.org/W2155792383","https://openalex.org/W2156427286","https://openalex.org/W2159563318","https://openalex.org/W2160547390","https://openalex.org/W2163844768","https://openalex.org/W2164278908","https://openalex.org/W2167657065","https://openalex.org/W2217417683","https://openalex.org/W2249299093","https://openalex.org/W2273561594","https://openalex.org/W2276692463","https://openalex.org/W2277192409","https://openalex.org/W2296616510","https://openalex.org/W2508074989","https://openalex.org/W2510946528","https://openalex.org/W2511401065","https://openalex.org/W2516415265","https://openalex.org/W2519523957","https://openalex.org/W2577988464","https://openalex.org/W2613463204","https://openalex.org/W2743635836","https://openalex.org/W2769849425","https://openalex.org/W2782977076","https://openalex.org/W2783760338","https://openalex.org/W2795890526","https://openalex.org/W2808078245","https://openalex.org/W2884144629","https://openalex.org/W2898013763","https://openalex.org/W2911940095","https://openalex.org/W2962910706","https://openalex.org/W2962978760","https://openalex.org/W2963676935","https://openalex.org/W2963764784","https://openalex.org/W2964178808","https://openalex.org/W2964193752","https://openalex.org/W2972762120","https://openalex.org/W2983736948","https://openalex.org/W2995679912","https://openalex.org/W2998391154","https://openalex.org/W3103783116","https://openalex.org/W3104214777","https://openalex.org/W3105772014","https://openalex.org/W4235713725","https://openalex.org/W4250955649","https://openalex.org/W4292363360","https://openalex.org/W6688742367","https://openalex.org/W6691294777"],"related_works":["https://openalex.org/W2088378984","https://openalex.org/W2953482628","https://openalex.org/W2339723633","https://openalex.org/W2386366915","https://openalex.org/W3080614128","https://openalex.org/W2519629644","https://openalex.org/W104225397","https://openalex.org/W2022517628","https://openalex.org/W3162084246","https://openalex.org/W4220868150"],"abstract_inverted_index":{"We":[0,59,88],"present":[1],"an":[2,90],"end-to-end":[3],"image":[4,39,120],"compression":[5,33,81,103,121],"system":[6,13,66,122],"based":[7],"on":[8],"compressive":[9,19,129,141],"sensing.":[10],"The":[11,32],"presented":[12],"integrates":[14],"the":[15,22,55,61,65,70,76,85,105,109,128,133],"conventional":[16],"scheme":[17],"of":[18,37,72,99],"sampling":[20,142],"(on":[21],"entire":[23],"image)":[24],"and":[25,29,51,80,83,102],"reconstruction":[26,86],"with":[27,49],"quantization":[28,79,100],"entropy":[30],"coding.":[31],"performance,":[34,67],"in":[35,127],"terms":[36],"decoded":[38],"quality":[40,111],"versus":[41],"data":[42],"rate,":[43],"is":[44],"shown":[45],"to":[46,93,137],"be":[47,124],"comparable":[48],"JPEG":[50],"significantly":[52],"better":[53],"at":[54,112],"low":[56],"rate":[57],"range.":[58],"study":[60],"parameters":[62],"that":[63,107],"influence":[64],"including":[68],"(i)":[69],"choice":[71],"sensing":[73,130],"matrix,":[74],"(ii)":[75],"trade-off":[77],"between":[78],"ratio,":[82,104],"(iii)":[84],"algorithms.":[87],"propose":[89],"effective":[91],"method":[92],"select,":[94],"among":[95],"all":[96],"possible":[97],"combinations":[98],"step":[101],"ones":[106],"yield":[108],"near-best":[110],"any":[113],"given":[114],"bit":[115],"rate.":[116],"Furthermore,":[117],"our":[118],"proposed":[119],"can":[123],"directly":[125],"used":[126],"camera,":[131,136],"e.g.,":[132],"single":[134],"pixel":[135],"construct":[138],"a":[139],"hardware":[140],"system.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}