{"id":"https://openalex.org/W2082904563","doi":"https://doi.org/10.1109/icmlc.2014.7009099","title":"The application of dictionary based compressed sensing for photoacoustic image","display_name":"The application of dictionary based compressed sensing for photoacoustic image","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2082904563","doi":"https://doi.org/10.1109/icmlc.2014.7009099","mag":"2082904563"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2014.7009099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2014.7009099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Machine Learning and Cybernetics","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/A5025461512","display_name":"Lili Zhou","orcid":"https://orcid.org/0000-0002-9568-1325"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Zhou","raw_affiliation_strings":["School of Electronic and Information Engineer, Soochow University, Suzhou, China","[School of Electronic and Information Engineer, Soochow University, Suzhou, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineer, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"[School of Electronic and Information Engineer, Soochow University, Suzhou, China]","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066383976","display_name":"Jiajun Wang","orcid":"https://orcid.org/0000-0002-2086-2105"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Wang","raw_affiliation_strings":["School of Electronic and Information Engineer, Soochow University, Suzhou, China","[School of Electronic and Information Engineer, Soochow University, Suzhou, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineer, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"[School of Electronic and Information Engineer, Soochow University, Suzhou, China]","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019758283","display_name":"Danfeng Hu","orcid":"https://orcid.org/0009-0004-9821-5356"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danfeng Hu","raw_affiliation_strings":["School of Electronic and Information Engineer, Soochow University, Suzhou, China","[School of Electronic and Information Engineer, Soochow University, Suzhou, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineer, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"[School of Electronic and Information Engineer, Soochow University, Suzhou, China]","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12338702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"54","issue":null,"first_page":"98","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":1.0,"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/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9868000149726868,"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":0.7551783323287964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901340484619141},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.6680117845535278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5633417963981628},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5574585199356079},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.548197329044342},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5248063802719116},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49418357014656067},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.48322615027427673},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.46347862482070923},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46159598231315613},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4536033868789673},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45293524861335754},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42487776279449463},{"id":"https://openalex.org/keywords/photoacoustic-imaging-in-biomedicine","display_name":"Photoacoustic imaging in biomedicine","score":0.42001357674598694},{"id":"https://openalex.org/keywords/radon-transform","display_name":"Radon transform","score":0.41064274311065674},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3992033004760742},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39303189516067505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2312713861465454},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12588924169540405},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09301638603210449},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08740779757499695}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7551783323287964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901340484619141},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.6680117845535278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5633417963981628},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5574585199356079},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.548197329044342},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5248063802719116},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49418357014656067},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.48322615027427673},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.46347862482070923},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46159598231315613},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4536033868789673},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45293524861335754},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42487776279449463},{"id":"https://openalex.org/C54932901","wikidata":"https://www.wikidata.org/wiki/Q7187705","display_name":"Photoacoustic imaging in biomedicine","level":2,"score":0.42001357674598694},{"id":"https://openalex.org/C197231052","wikidata":"https://www.wikidata.org/wiki/Q979829","display_name":"Radon transform","level":2,"score":0.41064274311065674},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3992033004760742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39303189516067505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2312713861465454},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12588924169540405},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09301638603210449},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08740779757499695},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2014.7009099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2014.7009099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1990770562","https://openalex.org/W2011817631","https://openalex.org/W2027347827","https://openalex.org/W2030668043","https://openalex.org/W2030733012","https://openalex.org/W2066367611","https://openalex.org/W2077925928","https://openalex.org/W2099390238","https://openalex.org/W2119667497","https://openalex.org/W2120926961","https://openalex.org/W2141928727","https://openalex.org/W2160547390","https://openalex.org/W2162473564"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2157715872","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041"],"abstract_inverted_index":{"Restrictions":[0],"of":[1,12,25,40,90,105],"the":[2,10,13,23,26,30,61,66,80,91,97,103],"hardware":[3],"conditions":[4],"and":[5,85,96],"spatial":[6],"size":[7],"usually":[8],"limit":[9],"number":[11,39],"measurements":[14,41],"in":[15,88],"photo":[16],"acoustic":[17],"imaging":[18],"which":[19],"will":[20],"finally":[21],"degrade":[22],"quality":[24],"reconstructed":[27],"image":[28],"with":[29,79],"back":[31],"projection":[32],"algorithm.":[33],"In":[34],"order":[35],"to":[36,69],"recover":[37],"larger":[38],"from":[42,54],"incomplete":[43],"ones,":[44],"a":[45,77],"compressed":[46,71],"sensing":[47],"(CS)":[48],"based":[49],"method":[50],"was":[51],"proposed.":[52],"Different":[53],"most":[55],"existed":[56],"CS-based":[57],"photoacoustic":[58],"reconstruction":[59],"method,":[60],"transform":[62],"matrix":[63],"for":[64],"converting":[65],"measurement":[67],"data":[68],"their":[70],"version":[72],"is":[73],"obtained":[74],"by":[75],"learning":[76],"dictionary":[78],"K-SVD":[81],"method.":[82,108],"Visual":[83],"assessment":[84],"quantitative":[86],"evaluations":[87],"terms":[89],"mean":[92],"squared":[93],"error":[94],"(MSE)":[95],"peak":[98],"signal-to-noise":[99],"ratio":[100],"(PSNR)":[101],"demonstrate":[102],"superiorities":[104],"our":[106],"proposed":[107]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}