{"id":"https://openalex.org/W2051911829","doi":"https://doi.org/10.1109/tip.2015.2414879","title":"Approximation and Compression With Sparse Orthonormal Transforms","display_name":"Approximation and Compression With Sparse Orthonormal Transforms","publication_year":2015,"publication_date":"2015-03-23","ids":{"openalex":"https://openalex.org/W2051911829","doi":"https://doi.org/10.1109/tip.2015.2414879","mag":"2051911829","pmid":"https://pubmed.ncbi.nlm.nih.gov/25823033"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2015.2414879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2414879","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5006439844","display_name":"Osman G. Sezer","orcid":"https://orcid.org/0000-0002-4938-9761"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Osman Gokhan Sezer","raw_affiliation_strings":["Mobile Processor Innovation Laboratory, Samsung Mobile, Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mobile Processor Innovation Laboratory, Samsung Mobile, Richardson, TX, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028089028","display_name":"Onur G. Guleryuz","orcid":"https://orcid.org/0009-0007-8637-7181"},"institutions":[{"id":"https://openalex.org/I2818286","display_name":"LG (United States)","ror":"https://ror.org/02b948n83","country_code":"US","type":"company","lineage":["https://openalex.org/I2818286","https://openalex.org/I4210131320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Onur G. Guleryuz","raw_affiliation_strings":["Mobile Research Laboratory, LG Electronics, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mobile Research Laboratory, LG Electronics, San Jose, CA, USA","institution_ids":["https://openalex.org/I2818286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083265370","display_name":"Y. Altunbasak","orcid":null},"institutions":[{"id":"https://openalex.org/I198068145","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77","country_code":"TR","type":"government","lineage":["https://openalex.org/I198068145"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Yucel Altunbasak","raw_affiliation_strings":["Scientific and Technological Research Council of Turkey, Ankara, Turkey",", Scientific and Technological Research Council of Turkey, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scientific and Technological Research Council of Turkey, Ankara, Turkey","institution_ids":["https://openalex.org/I198068145"]},{"raw_affiliation_string":", Scientific and Technological Research Council of Turkey, Ankara, Turkey","institution_ids":["https://openalex.org/I198068145"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1826,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94574063,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"8","first_page":"2328","last_page":"2343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9987999796867371,"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/orthonormal-basis","display_name":"Orthonormal basis","score":0.6792863011360168},{"id":"https://openalex.org/keywords/karhunen\u2013lo\u00e8ve-theorem","display_name":"Karhunen\u2013Lo\u00e8ve theorem","score":0.6526432037353516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5828660130500793},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5613526701927185},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5253476500511169},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.5034529566764832},{"id":"https://openalex.org/keywords/signal-compression","display_name":"Signal compression","score":0.45422035455703735},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.43669360876083374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35216024518013},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.346377432346344},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.2897130846977234},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2621884346008301},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14544254541397095}],"concepts":[{"id":"https://openalex.org/C5806529","wikidata":"https://www.wikidata.org/wiki/Q2365325","display_name":"Orthonormal basis","level":2,"score":0.6792863011360168},{"id":"https://openalex.org/C109308471","wikidata":"https://www.wikidata.org/wiki/Q2046647","display_name":"Karhunen\u2013Lo\u00e8ve theorem","level":2,"score":0.6526432037353516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5828660130500793},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5613526701927185},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5253476500511169},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.5034529566764832},{"id":"https://openalex.org/C2778192920","wikidata":"https://www.wikidata.org/wiki/Q16874989","display_name":"Signal compression","level":4,"score":0.45422035455703735},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.43669360876083374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35216024518013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.346377432346344},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.2897130846977234},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2621884346008301},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14544254541397095},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2015.2414879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2414879","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:25823033","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25823033","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.454.6720","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.454.6720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eeweb.poly.edu/~onur/publish/sot.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W228380312","https://openalex.org/W1485280399","https://openalex.org/W1488830086","https://openalex.org/W1531134584","https://openalex.org/W1592635802","https://openalex.org/W1604949508","https://openalex.org/W1634005169","https://openalex.org/W1951629768","https://openalex.org/W1982410203","https://openalex.org/W1986067162","https://openalex.org/W2008221957","https://openalex.org/W2010161441","https://openalex.org/W2023289522","https://openalex.org/W2031614119","https://openalex.org/W2032013306","https://openalex.org/W2034648888","https://openalex.org/W2040111209","https://openalex.org/W2053691921","https://openalex.org/W2057395973","https://openalex.org/W2082823585","https://openalex.org/W2096214656","https://openalex.org/W2096613063","https://openalex.org/W2097224497","https://openalex.org/W2097323375","https://openalex.org/W2098559361","https://openalex.org/W2098914003","https://openalex.org/W2099084768","https://openalex.org/W2111424419","https://openalex.org/W2115755118","https://openalex.org/W2117853853","https://openalex.org/W2118217749","https://openalex.org/W2119667497","https://openalex.org/W2124276741","https://openalex.org/W2132968352","https://openalex.org/W2133833176","https://openalex.org/W2134190709","https://openalex.org/W2134568086","https://openalex.org/W2136109306","https://openalex.org/W2137234026","https://openalex.org/W2138019504","https://openalex.org/W2138702206","https://openalex.org/W2142276208","https://openalex.org/W2145263492","https://openalex.org/W2148593155","https://openalex.org/W2160547390","https://openalex.org/W2163598599","https://openalex.org/W2163935396","https://openalex.org/W2164520574","https://openalex.org/W2166796177","https://openalex.org/W2166816543","https://openalex.org/W2169244200","https://openalex.org/W3005363104","https://openalex.org/W3099740457","https://openalex.org/W4249667877","https://openalex.org/W6652650672","https://openalex.org/W6652907427","https://openalex.org/W6679759512"],"related_works":["https://openalex.org/W2168652241","https://openalex.org/W2093183275","https://openalex.org/W2953035947","https://openalex.org/W638867868","https://openalex.org/W2144912679","https://openalex.org/W2150246044","https://openalex.org/W2005892337","https://openalex.org/W2129464052","https://openalex.org/W3182090294","https://openalex.org/W1569389448"],"abstract_inverted_index":{"We":[0,137,178],"propose":[1,210],"a":[2,37,52,129,144,211,218],"new":[3,212],"transform":[4,22,152,191],"design":[5],"method":[6,72,90],"that":[7,31,78,91,102,112,139,184],"targets":[8],"the":[9,93,150,157,172],"generation":[10],"of":[11,55,63,118,149,220],"compression-optimized":[12],"transforms":[13,76],"for":[14,188],"next-generation":[15],"multimedia":[16],"applications.":[17],"The":[18,70],"fundamental":[19],"idea":[20],"behind":[21],"compression":[23,228],"is":[24,33,103],"to":[25,36,50,59,66,115,132,156,168],"exploit":[26,80],"regularity":[27,64,81],"within":[28],"signals":[29],"such":[30],"redundancy":[32],"minimized":[34],"subject":[35],"fidelity":[38],"cost.":[39],"Multimedia":[40],"signals,":[41],"in":[42,227],"particular":[43],"images":[44],"and":[45,65,86,109,128,146,162,196,215,229],"video,":[46],"are":[47,113],"well":[48],"known":[49],"contain":[51],"diverse":[53],"set":[54],"localized":[56,97],"structures,":[57],"leading":[58],"many":[60],"different":[61,83],"types":[62,117],"nonstationary":[67],"signal":[68,84,119],"statistics.":[69],"proposed":[71],"designs":[73,111,142,187],"sparse":[74],"orthonormal":[75],"(SOTs)":[77],"automatically":[79,164],"over":[82,96,171,217],"structures":[85],"provides":[87],"an":[88,180],"adaptation":[89],"determines":[92],"best":[94],"representation":[95],"regions.":[98],"Unlike":[99],"earlier":[100],"work":[101,122],"motivated":[104],"by":[105,154,163],"linear":[106],"approximation":[107,126,204,230],"constructs":[108],"model-based":[110],"limited":[114],"specific":[116],"regularity,":[120],"our":[121,140],"uses":[123],"general":[124,176],"nonlinear":[125],"ideas":[127],"data-driven":[130],"setup":[131],"significantly":[133,169,200],"broaden":[134],"its":[135],"reach.":[136],"show":[138,224],"SOT":[141],"provide":[143,179],"safe":[145],"principled":[147],"extension":[148],"Karhunen-Loeve":[151],"(KLT)":[153],"reducing":[155],"KLT":[158,173],"on":[159,174],"Gaussian":[160],"processes":[161],"exploiting":[165],"non-Gaussian":[166],"statistics":[167],"improve":[170],"more":[175],"processes.":[177],"algebraic":[181],"optimization":[182],"framework":[183],"generates":[185],"optimized":[186],"any":[189],"desired":[190],"structure":[192],"(multiresolution,":[193],"block,":[194],"lapped,":[195],"so":[197],"on)":[198],"with":[199,233],"better":[201],"n":[202],"-term":[203],"performance.":[205],"For":[206],"each":[207],"structure,":[208],"we":[209],"prototype":[213],"codec":[214],"test":[216],"database":[219],"images.":[221],"Simulation":[222],"results":[223],"consistent":[225],"increase":[226],"performance":[231],"compared":[232],"conventional":[234],"methods.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}