{"id":"https://openalex.org/W2008497494","doi":"https://doi.org/10.1109/iecon.2012.6388515","title":"Image encryption based on convolution operation in the gyrator transform domain","display_name":"Image encryption based on convolution operation in the gyrator transform domain","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2008497494","doi":"https://doi.org/10.1109/iecon.2012.6388515","mag":"2008497494"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2012.6388515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2012.6388515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society","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/A5083126341","display_name":"Sandra M. Daza","orcid":null},"institutions":[{"id":"https://openalex.org/I3129345357","display_name":"Popular University of Cesar","ror":"https://ror.org/05pzmdf74","country_code":"CO","type":"education","lineage":["https://openalex.org/I3129345357"]}],"countries":["CO"],"is_corresponding":true,"raw_author_name":"Sandra M. Daza","raw_affiliation_strings":["Magister en Ciencias Fisicas SUE Caribe - Popular University of Cesar, Valledupar, Colombia","Magister en Ciencias F\u00edsicas SUE Caribe - Popular University of Cesar, Valledupar, Colombia"],"affiliations":[{"raw_affiliation_string":"Magister en Ciencias Fisicas SUE Caribe - Popular University of Cesar, Valledupar, Colombia","institution_ids":["https://openalex.org/I3129345357"]},{"raw_affiliation_string":"Magister en Ciencias F\u00edsicas SUE Caribe - Popular University of Cesar, Valledupar, Colombia","institution_ids":["https://openalex.org/I3129345357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073170523","display_name":"Fabio Vega","orcid":"https://orcid.org/0000-0001-9982-0823"},"institutions":[{"id":"https://openalex.org/I3129345357","display_name":"Popular University of Cesar","ror":"https://ror.org/05pzmdf74","country_code":"CO","type":"education","lineage":["https://openalex.org/I3129345357"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Fabio Vega","raw_affiliation_strings":["Optics and Informatics Group, Popular University of Cesar, Valledupar, Colombia"],"affiliations":[{"raw_affiliation_string":"Optics and Informatics Group, Popular University of Cesar, Valledupar, Colombia","institution_ids":["https://openalex.org/I3129345357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005787593","display_name":"Lorenzo Matos","orcid":null},"institutions":[{"id":"https://openalex.org/I3129345357","display_name":"Popular University of Cesar","ror":"https://ror.org/05pzmdf74","country_code":"CO","type":"education","lineage":["https://openalex.org/I3129345357"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Lorenzo Matos","raw_affiliation_strings":["Optics and Informatics Group, Popular University of Cesar, Valledupar, Colombia"],"affiliations":[{"raw_affiliation_string":"Optics and Informatics Group, Popular University of Cesar, Valledupar, Colombia","institution_ids":["https://openalex.org/I3129345357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028471227","display_name":"Cesar Torres Moreno","orcid":null},"institutions":[{"id":"https://openalex.org/I3129345357","display_name":"Popular University of Cesar","ror":"https://ror.org/05pzmdf74","country_code":"CO","type":"education","lineage":["https://openalex.org/I3129345357"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Cesar Torres Moreno","raw_affiliation_strings":["Optics and Informatics Group, Popular University of Cesar, Valledupar","Optics and Informatics Group, Popular University of Cesar, Valledupar, Colombia"],"affiliations":[{"raw_affiliation_string":"Optics and Informatics Group, Popular University of Cesar, Valledupar","institution_ids":["https://openalex.org/I3129345357"]},{"raw_affiliation_string":"Optics and Informatics Group, Popular University of Cesar, Valledupar, Colombia","institution_ids":["https://openalex.org/I3129345357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000909627","display_name":"Mario D\u0131\u0301az","orcid":"https://orcid.org/0000-0001-5692-8906"},"institutions":[{"id":"https://openalex.org/I3129345357","display_name":"Popular University of Cesar","ror":"https://ror.org/05pzmdf74","country_code":"CO","type":"education","lineage":["https://openalex.org/I3129345357"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"M. Leonardo Diaz","raw_affiliation_strings":["Optics and Informatics Group, Popular University of Cesar, Valledupar, Colombia"],"affiliations":[{"raw_affiliation_string":"Optics and Informatics Group, Popular University of Cesar, Valledupar, Colombia","institution_ids":["https://openalex.org/I3129345357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5097934647","display_name":"Yailth Morales Daza","orcid":null},"institutions":[{"id":"https://openalex.org/I3129345357","display_name":"Popular University of Cesar","ror":"https://ror.org/05pzmdf74","country_code":"CO","type":"education","lineage":["https://openalex.org/I3129345357"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Yailth Morales Daza","raw_affiliation_strings":["Optics and Informatics Group, Popular University of Cesar, Valledupar, Colombia"],"affiliations":[{"raw_affiliation_string":"Optics and Informatics Group, Popular University of Cesar, Valledupar, Colombia","institution_ids":["https://openalex.org/I3129345357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083126341"],"corresponding_institution_ids":["https://openalex.org/I3129345357"],"apc_list":null,"apc_paid":null,"fwci":1.0982,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78977238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"283","issue":null,"first_page":"1527","last_page":"1529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","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/T11017","display_name":"Chaos-based Image/Signal Encryption","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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9781000018119812,"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/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.8456519842147827},{"id":"https://openalex.org/keywords/hartley-transform","display_name":"Hartley transform","score":0.7532850503921509},{"id":"https://openalex.org/keywords/gyrator","display_name":"Gyrator","score":0.6964306831359863},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6791514754295349},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6168055534362793},{"id":"https://openalex.org/keywords/discrete-hartley-transform","display_name":"Discrete Hartley transform","score":0.5878164768218994},{"id":"https://openalex.org/keywords/paraxial-approximation","display_name":"Paraxial approximation","score":0.5845092535018921},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.5494630932807922},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5371734499931335},{"id":"https://openalex.org/keywords/convolution-theorem","display_name":"Convolution theorem","score":0.46290692687034607},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4611224830150604},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.44336411356925964},{"id":"https://openalex.org/keywords/discrete-time-fourier-transform","display_name":"Discrete-time Fourier transform","score":0.43492391705513},{"id":"https://openalex.org/keywords/circular-convolution","display_name":"Circular convolution","score":0.4326515793800354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42069652676582336},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2842510938644409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2478947937488556},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1778976023197174},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.1201009452342987},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.11138147115707397},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1019134521484375}],"concepts":[{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.8456519842147827},{"id":"https://openalex.org/C67757890","wikidata":"https://www.wikidata.org/wiki/Q1567607","display_name":"Hartley transform","level":5,"score":0.7532850503921509},{"id":"https://openalex.org/C103113521","wikidata":"https://www.wikidata.org/wiki/Q677197","display_name":"Gyrator","level":2,"score":0.6964306831359863},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6791514754295349},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6168055534362793},{"id":"https://openalex.org/C192853989","wikidata":"https://www.wikidata.org/wiki/Q1006531","display_name":"Discrete Hartley transform","level":5,"score":0.5878164768218994},{"id":"https://openalex.org/C56034020","wikidata":"https://www.wikidata.org/wiki/Q1071734","display_name":"Paraxial approximation","level":3,"score":0.5845092535018921},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.5494630932807922},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5371734499931335},{"id":"https://openalex.org/C79587385","wikidata":"https://www.wikidata.org/wiki/Q2638931","display_name":"Convolution theorem","level":5,"score":0.46290692687034607},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4611224830150604},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.44336411356925964},{"id":"https://openalex.org/C122444316","wikidata":"https://www.wikidata.org/wiki/Q1440048","display_name":"Discrete-time Fourier transform","level":5,"score":0.43492391705513},{"id":"https://openalex.org/C194980680","wikidata":"https://www.wikidata.org/wiki/Q245450","display_name":"Circular convolution","level":5,"score":0.4326515793800354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42069652676582336},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2842510938644409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2478947937488556},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1778976023197174},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.1201009452342987},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.11138147115707397},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1019134521484375},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C168834538","wikidata":"https://www.wikidata.org/wiki/Q3705329","display_name":"Beam (structure)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon.2012.6388515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2012.6388515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society","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":9,"referenced_works":["https://openalex.org/W1970560939","https://openalex.org/W1988334997","https://openalex.org/W2009436830","https://openalex.org/W2018354276","https://openalex.org/W2031073363","https://openalex.org/W2034358105","https://openalex.org/W2042914839","https://openalex.org/W2088991300","https://openalex.org/W6652538184"],"related_works":["https://openalex.org/W2057624792","https://openalex.org/W2100413522","https://openalex.org/W2162504972","https://openalex.org/W2170755202","https://openalex.org/W2140929831","https://openalex.org/W2004797867","https://openalex.org/W3125765581","https://openalex.org/W2577240889","https://openalex.org/W2008497494","https://openalex.org/W2009436830"],"abstract_inverted_index":{"Recently,":[0],"the":[1,19,27,84,97,110,113,115,125],"gyrator":[2,51],"transform":[3,13,52,70,121],"(GT),":[4],"which":[5,61],"is":[6,54,122],"also":[7],"a":[8],"kind":[9],"of":[10,21,29,50,66,87,112,117,120,127],"linear":[11],"canonical":[12],"(LCT),":[14],"has":[15],"been":[16],"researched":[17],"in":[18,39,45,93],"fields":[20],"image":[22,102,105,133],"processing,":[23,130],"mathematics":[24],"and":[25,71,103,136],"optics;":[26],"calculation":[28],"discrete":[30,80],"GT":[31,62,81],"can":[32,63],"be":[33,64],"implemented":[34],"by":[35,56,82],"Fresnel":[36],"diffraction":[37],"integral":[38],"free":[40],"space":[41],"under":[42],"paraxial":[43],"approximation;":[44],"this":[46],"paper":[47],"The":[48],"expression":[49,86],"(GT)":[53],"rewritten":[55],"using":[57],"convolution":[58,85],"operation,":[59],"from":[60],"composed":[65],"phase-only":[67],"filtering,":[68],"Fourier":[69,73,89],"inverse":[72,100],"transform.":[74,90],"We":[75],"investigate":[76],"an":[77],"algorithm":[78,119],"computing":[79],"simulating":[83],"fractional":[88],"Some":[91],"simulations":[92],"order":[94],"to":[95,108,124],"evaluate":[96],"difference":[98],"between":[99],"transformed":[101],"original":[104],"are":[106],"presented":[107],"demonstrate":[109],"validity":[111],"algorithm,":[114],"reversibility":[116],"numerical":[118],"important":[123],"field":[126],"optical":[128],"information":[129],"such":[131],"as":[132],"encryption,":[134],"filtering":[135],"correlation.":[137]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
