{"id":"https://openalex.org/W1986947781","doi":"https://doi.org/10.1109/siu.2014.6830726","title":"Graph-cut-based compression algorithm for compressed-sensed image acquisition","display_name":"Graph-cut-based compression algorithm for compressed-sensed image acquisition","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W1986947781","doi":"https://doi.org/10.1109/siu.2014.6830726","mag":"1986947781"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2014.6830726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2014.6830726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-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/A5046530264","display_name":"J\u00fclide G\u00fclen Alaydin","orcid":null},"institutions":[{"id":"https://openalex.org/I106245021","display_name":"\u00c7ankaya University","ror":"https://ror.org/056wqre19","country_code":"TR","type":"education","lineage":["https://openalex.org/I106245021"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Julide Gulen Alaydin","raw_affiliation_strings":["Cankaya University, Ankara, Turkiye","Cankaya University, Eskisehir Yolu 29.km Yenimahalle, Ankara 06810, Turkiye"],"affiliations":[{"raw_affiliation_string":"Cankaya University, Ankara, Turkiye","institution_ids":["https://openalex.org/I106245021"]},{"raw_affiliation_string":"Cankaya University, Eskisehir Yolu 29.km Yenimahalle, Ankara 06810, Turkiye","institution_ids":["https://openalex.org/I106245021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044532872","display_name":"Seden Hazal Gulen","orcid":null},"institutions":[{"id":"https://openalex.org/I106245021","display_name":"\u00c7ankaya University","ror":"https://ror.org/056wqre19","country_code":"TR","type":"education","lineage":["https://openalex.org/I106245021"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Seden Hazal Gulen","raw_affiliation_strings":["Cankaya University, Ankara, Turkiye","Cankaya University, Eskisehir Yolu 29.km Yenimahalle, Ankara 06810, Turkiye"],"affiliations":[{"raw_affiliation_string":"Cankaya University, Ankara, Turkiye","institution_ids":["https://openalex.org/I106245021"]},{"raw_affiliation_string":"Cankaya University, Eskisehir Yolu 29.km Yenimahalle, Ankara 06810, Turkiye","institution_ids":["https://openalex.org/I106245021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083440927","display_name":"Maria Trocan","orcid":"https://orcid.org/0000-0001-6241-0126"},"institutions":[{"id":"https://openalex.org/I122941322","display_name":"Institut Sup\u00e9rieur d'\u00c9lectronique de Paris","ror":"https://ror.org/00yw34h52","country_code":"FR","type":"education","lineage":["https://openalex.org/I122941322"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maria Trocan","raw_affiliation_strings":["ISEP Ecole d'ingenieurs du numerique, Paris, \u00c3\u017dle-de-France, FR","Institut Superieur d'Electronique de Paris, 28 rue NdC, Paris 75006, France"],"affiliations":[{"raw_affiliation_string":"ISEP Ecole d'ingenieurs du numerique, Paris, \u00c3\u017dle-de-France, FR","institution_ids":["https://openalex.org/I122941322"]},{"raw_affiliation_string":"Institut Superieur d'Electronique de Paris, 28 rue NdC, Paris 75006, France","institution_ids":["https://openalex.org/I122941322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042082747","display_name":"Beh\u00e7et U\u011fur T\u00f6rey\u0131n","orcid":"https://orcid.org/0000-0003-4406-2783"},"institutions":[{"id":"https://openalex.org/I106245021","display_name":"\u00c7ankaya University","ror":"https://ror.org/056wqre19","country_code":"TR","type":"education","lineage":["https://openalex.org/I106245021"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Behcet Ugur Toreyin","raw_affiliation_strings":["Cankaya University, Ankara, Turkiye","Cankaya University, Eskisehir Yolu 29.km Yenimahalle, Ankara 06810, Turkiye"],"affiliations":[{"raw_affiliation_string":"Cankaya University, Ankara, Turkiye","institution_ids":["https://openalex.org/I106245021"]},{"raw_affiliation_string":"Cankaya University, Eskisehir Yolu 29.km Yenimahalle, Ankara 06810, Turkiye","institution_ids":["https://openalex.org/I106245021"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046530264"],"corresponding_institution_ids":["https://openalex.org/I106245021"],"apc_list":null,"apc_paid":null,"fwci":0.3154,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58143738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2310","last_page":"2313"},"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":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9990000128746033,"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/compressed-sensing","display_name":"Compressed sensing","score":0.7577826976776123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6222015619277954},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.544827401638031},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.544274628162384},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5061919093132019},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.49063006043434143},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.4832945168018341},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.48225146532058716},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4625045657157898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4470837712287903},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4312775135040283},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.41163623332977295},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.408380925655365},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2759919762611389},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25177523493766785},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2370072305202484},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.14777818322181702},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13323193788528442},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06865137815475464}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7577826976776123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6222015619277954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.544827401638031},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.544274628162384},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5061919093132019},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.49063006043434143},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.4832945168018341},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.48225146532058716},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4625045657157898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4470837712287903},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4312775135040283},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.41163623332977295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.408380925655365},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2759919762611389},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25177523493766785},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2370072305202484},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.14777818322181702},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13323193788528442},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06865137815475464},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2014.6830726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2014.6830726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W60423602","https://openalex.org/W2101309634","https://openalex.org/W2110005331","https://openalex.org/W2119667497","https://openalex.org/W2129276048","https://openalex.org/W2129812098","https://openalex.org/W2143516773","https://openalex.org/W2145096794","https://openalex.org/W2152281536","https://openalex.org/W2296616510","https://openalex.org/W4250955649","https://openalex.org/W6679164396","https://openalex.org/W6820645939"],"related_works":["https://openalex.org/W2390873329","https://openalex.org/W2151403598","https://openalex.org/W2385039112","https://openalex.org/W2137460601","https://openalex.org/W2386366915","https://openalex.org/W2354616978","https://openalex.org/W2357744830","https://openalex.org/W2006865992","https://openalex.org/W2375053416","https://openalex.org/W2953482628"],"abstract_inverted_index":{"The":[0,23,75],"purpose":[1],"of":[2],"the":[3,8,40,56,60,63],"paper":[4],"is":[5,27,49],"to":[6,53,59,88],"find":[7],"best":[9],"quantizer":[10,20,46],"allocation":[11,21,47],"for":[12,79],"compressed-sensed":[13],"acquired":[14],"images,":[15],"by":[16],"using":[17,33,68],"a":[18,30,34,44,69],"graph-cut":[19],"method.":[22,74],"compressed":[24,80],"sensed":[25,81],"acquisition":[26,82],"realized":[28],"in":[29,51],"block-based":[31],"manner,":[32],"random":[35],"projection":[36],"matrix,":[37],"and":[38],"on":[39],"obtained":[41],"block":[42],"measurements":[43,65],"graph-cut-based":[45],"method":[48,78],"applied,":[50],"order":[52],"further":[54],"reduce":[55],"bitrate":[57],"associated":[58],"measurements.":[61],"Finally,":[62],"quantized":[64],"are":[66],"reconstructed":[67],"Smooth":[70],"Projected":[71],"Landweber":[72],"recovery":[73],"proposed":[76],"compression":[77],"shows":[83],"better":[84],"results":[85],"when":[86],"compared":[87],"JPEG2000.":[89]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}