{"id":"https://openalex.org/W2000738690","doi":"https://doi.org/10.1117/12.2042541","title":"Embedded signal approach to image texture reproduction analysis","display_name":"Embedded signal approach to image texture reproduction analysis","publication_year":2014,"publication_date":"2014-01-07","ids":{"openalex":"https://openalex.org/W2000738690","doi":"https://doi.org/10.1117/12.2042541","mag":"2000738690"},"language":"en","primary_location":{"id":"doi:10.1117/12.2042541","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2042541","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5113696946","display_name":"Peter D. Burns","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126550","display_name":"C4 Imaging (United States)","ror":"https://ror.org/02x41bc05","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126550"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peter D. Burns","raw_affiliation_strings":["Burns Digital Imaging (United States)"],"affiliations":[{"raw_affiliation_string":"Burns Digital Imaging (United States)","institution_ids":["https://openalex.org/I4210126550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106317199","display_name":"Donald J. Baxter","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135508","display_name":"STMicroelectronics (United Kingdom)","ror":"https://ror.org/0442wxc77","country_code":"GB","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210135508"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Donald Baxter","raw_affiliation_strings":["STMicroelectronics Ltd. (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"STMicroelectronics Ltd. (United Kingdom)","institution_ids":["https://openalex.org/I4210135508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113696946"],"corresponding_institution_ids":["https://openalex.org/I4210126550"],"apc_list":null,"apc_paid":null,"fwci":0.2382,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5687245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9016","issue":null,"first_page":"90160H","last_page":"90160H"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9965999722480774,"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":0.9965999722480774,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9883000254631042,"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":0.7683752775192261},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.524052619934082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5019197463989258},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4357047975063324},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4233686327934265},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40798211097717285},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3586581349372864}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7683752775192261},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.524052619934082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5019197463989258},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4357047975063324},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4233686327934265},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40798211097717285},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3586581349372864},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2042541","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2042541","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.639.5266","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.639.5266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.losburns.com/imaging/pbpubs/65BurnsBaxter_EI2014.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2006706861","https://openalex.org/W2097073572","https://openalex.org/W2107809243","https://openalex.org/W2113638573","https://openalex.org/W2139856097","https://openalex.org/W2145703490","https://openalex.org/W6651939581","https://openalex.org/W6674723063","https://openalex.org/W6676426380","https://openalex.org/W6680528560","https://openalex.org/W6681333880"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2775347418","https://openalex.org/W2021592657","https://openalex.org/W2145652935","https://openalex.org/W2625805835","https://openalex.org/W2779427294","https://openalex.org/W2782138435","https://openalex.org/W2725025793","https://openalex.org/W2154822139","https://openalex.org/W2008487901"],"abstract_inverted_index":{"Since":[0],"image":[1,6,22,83,115,125,151,184,228,256,274],"processing":[2,95],"aimed":[3],"at":[4],"reducing":[5],"noise":[7,214,257],"can":[8,53],"also":[9],"remove":[10],"important":[11],"texture,":[12],"standard":[13],"methods":[14,202,249],"for":[15,44,74,145,218,251],"evaluating":[16],"the":[17,29,32,66,72,94,97,140,177,198,233],"capture":[18],"and":[19,34,215,237,264],"retention":[20],"of":[21,31,36,58,96,176,189,221,227,244,262,270],"texture":[23,76,105,116,126,141,152,229],"are":[24,50,153],"currently":[25],"being":[26,60],"developed.":[27],"Concurrently,":[28],"evolution":[30],"intelligence":[33],"performance":[35],"camera":[37,209,222],"noise-reduction":[38,273],"(NR)":[39],"algorithms":[40,49],"poses":[41],"a":[42,89,120,129,160,173,194,206,219,238,259],"challenge":[43,79],"these":[45],"protocols.":[46],"Many":[47],"NR":[48,59],"\u2018content-aware\u2019,":[51],"which":[52],"lead":[54],"to":[55,62,81,104,255],"different":[56],"levels":[57],"applied":[61],"various":[63],"regions":[64],"within":[65,114],"same":[67],"digital":[68,208],"image.":[69,142],"We":[70,100,118],"review":[71],"requirements":[73],"improved":[75],"measurement.":[77],"The":[78,155,169,247],"is":[80,137],"evaluate":[82],"signal":[84,91,135],"(texture)":[85],"content":[86],"without":[87],"having":[88],"test":[90,112,148,199],"interfere":[92],"with":[93,128,166,183,193,232,253],"natural":[98,124,235],"scene.":[99],"describe":[101,119],"an":[102,268,271],"approach":[103],"reproduction":[106],"analysis":[107],"that":[108,122,211],"uses":[109,123,159,172],"embedded":[110,138],"periodic":[111,131,147],"signals":[113,149],"regions.":[117],"target":[121],"combined":[127,182],"multi-frequency":[130],"signal.":[132],"This":[133],"low-amplitude":[134,174],"region":[136,165,242],"in":[139,150,267],"Two":[143,225],"approaches":[144],"embedding":[146],"described.":[154],"stacked":[156],"sine-wave":[157,179],"method":[158,171],"single":[161,195],"combined,":[162],"or":[163],"stacked,":[164],"several":[167],"frequency-components.":[168],"second":[170],"version":[175],"IEC-61146-1":[178],"multi-burst":[180],"chart,":[181],"texture.":[185],"A":[186],"3x3":[187],"grid":[188],"smaller":[190],"regions,":[191],"each":[192],"frequency,":[196],"constitutes":[197],"target.":[200],"Both":[201],"were":[203,230],"evaluated":[204],"using":[205],"simulated":[207],"capture-path":[210],"included":[212],"detector":[213],"optical":[216],"MTF,":[217],"range":[220,261],"exposure/ISO":[223],"settings.":[224],"types":[226],"used":[231],"method,":[234],"grass":[236],"computed":[239],"\u2018dead-leaves":[240],"\u2019":[241],"composed":[243],"random":[245],"circles.":[246],"embedded-signal":[248],"tested":[250],"accuracy":[252],"respect":[254],"over":[258],"wide":[260],"levels,":[263],"then":[265],"further":[266],"evaluation":[269],"adaptive":[272],"processing.":[275]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}