{"id":"https://openalex.org/W2766816247","doi":"https://doi.org/10.1109/tvcg.2017.2769050","title":"Transformation of the Multivariate Generalized Gaussian Distribution for Image Editing","display_name":"Transformation of the Multivariate Generalized Gaussian Distribution for Image Editing","publication_year":2017,"publication_date":"2017-11-02","ids":{"openalex":"https://openalex.org/W2766816247","doi":"https://doi.org/10.1109/tvcg.2017.2769050","mag":"2766816247","pmid":"https://pubmed.ncbi.nlm.nih.gov/29990084"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2017.2769050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2017.2769050","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","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/A5072435381","display_name":"Hristina Hristova","orcid":"https://orcid.org/0000-0003-2894-6933"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Hristina Hristova","raw_affiliation_strings":["University of Rennes 1, Rennes, France","FRVSense - FRVSense (Campus de Beaulieu\r\n35042 Rennes cedex - France)"],"raw_orcid":"https://orcid.org/0000-0003-2894-6933","affiliations":[{"raw_affiliation_string":"University of Rennes 1, Rennes, France","institution_ids":["https://openalex.org/I56067802"]},{"raw_affiliation_string":"FRVSense - FRVSense (Campus de Beaulieu\r\n35042 Rennes cedex - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001705528","display_name":"Olivier Le Meur","orcid":"https://orcid.org/0000-0001-9883-0296"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Le Meur","raw_affiliation_strings":["University of Rennes 1, Rennes, France","Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)"],"raw_orcid":"https://orcid.org/0000-0001-9883-0296","affiliations":[{"raw_affiliation_string":"University of Rennes 1, Rennes, France","institution_ids":["https://openalex.org/I56067802"]},{"raw_affiliation_string":"Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053742032","display_name":"R\u00e9mi Cozot","orcid":null},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Remi Cozot","raw_affiliation_strings":["University of Rennes 1, Rennes, France","FRVSense - FRVSense (Campus de Beaulieu\r\n35042 Rennes cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rennes 1, Rennes, France","institution_ids":["https://openalex.org/I56067802"]},{"raw_affiliation_string":"FRVSense - FRVSense (Campus de Beaulieu\r\n35042 Rennes cedex - France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048208600","display_name":"Kadi Bouatouch","orcid":null},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Kadi Bouatouch","raw_affiliation_strings":["University of Rennes 1, Rennes, France","FRVSense - FRVSense (Campus de Beaulieu\r\n35042 Rennes cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rennes 1, Rennes, France","institution_ids":["https://openalex.org/I56067802"]},{"raw_affiliation_string":"FRVSense - FRVSense (Campus de Beaulieu\r\n35042 Rennes cedex - France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072435381"],"corresponding_institution_ids":["https://openalex.org/I56067802"],"apc_list":null,"apc_paid":null,"fwci":0.2773,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.6530806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"24","issue":"10","first_page":"2813","last_page":"2826"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9983000159263611,"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":0.9983000159263611,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9950000047683716,"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":0.9940999746322632,"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/transformation","display_name":"Transformation (genetics)","score":0.7679303884506226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6980655789375305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6164509057998657},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5092297792434692},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4901324212551117},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4768565595149994},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.46690279245376587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4404720962047577},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43722856044769287},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4293445646762848},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.41192683577537537},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34587645530700684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28016167879104614},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13087165355682373},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10166794061660767}],"concepts":[{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.7679303884506226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6980655789375305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6164509057998657},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5092297792434692},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4901324212551117},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4768565595149994},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.46690279245376587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4404720962047577},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43722856044769287},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4293445646762848},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.41192683577537537},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34587645530700684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28016167879104614},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13087165355682373},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10166794061660767},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tvcg.2017.2769050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2017.2769050","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:29990084","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29990084","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 visualization and computer graphics","raw_type":null},{"id":"pmh:oai:HAL:hal-01650368v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-01650368","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics, 2017, pp.15. &#x27E8;10.1109/TVCG.2017.2769050&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W10810736","https://openalex.org/W92691110","https://openalex.org/W301800434","https://openalex.org/W1012977646","https://openalex.org/W1480054242","https://openalex.org/W1514025124","https://openalex.org/W1548544467","https://openalex.org/W1585160083","https://openalex.org/W1836967730","https://openalex.org/W1976985517","https://openalex.org/W1981595564","https://openalex.org/W1992511687","https://openalex.org/W2005690024","https://openalex.org/W2006957355","https://openalex.org/W2009322048","https://openalex.org/W2017387569","https://openalex.org/W2045926440","https://openalex.org/W2052318197","https://openalex.org/W2069820356","https://openalex.org/W2070316439","https://openalex.org/W2070604790","https://openalex.org/W2072267061","https://openalex.org/W2073609227","https://openalex.org/W2081825416","https://openalex.org/W2091773938","https://openalex.org/W2117749465","https://openalex.org/W2125267934","https://openalex.org/W2128005148","https://openalex.org/W2129112648","https://openalex.org/W2132504201","https://openalex.org/W2136898156","https://openalex.org/W2139261503","https://openalex.org/W2142485381","https://openalex.org/W2143734193","https://openalex.org/W2145768101","https://openalex.org/W2147821504","https://openalex.org/W2160530465","https://openalex.org/W2162502298","https://openalex.org/W2163534628","https://openalex.org/W2165932233","https://openalex.org/W2167305996","https://openalex.org/W2170885533","https://openalex.org/W2171324559","https://openalex.org/W2242047952","https://openalex.org/W2313299119","https://openalex.org/W2954511444","https://openalex.org/W2997077506","https://openalex.org/W2997095758","https://openalex.org/W4242272335","https://openalex.org/W4256431090","https://openalex.org/W4256694603","https://openalex.org/W4300223101","https://openalex.org/W6600448088","https://openalex.org/W6626528105","https://openalex.org/W6630572912","https://openalex.org/W6632904779","https://openalex.org/W6680137528","https://openalex.org/W6683603579","https://openalex.org/W6683944443","https://openalex.org/W6684987366"],"related_works":["https://openalex.org/W2220190985","https://openalex.org/W2346846619","https://openalex.org/W2417295580","https://openalex.org/W4250921637","https://openalex.org/W1840639769","https://openalex.org/W2033612661","https://openalex.org/W2055354074","https://openalex.org/W198767307","https://openalex.org/W4237200122","https://openalex.org/W2014701453"],"abstract_inverted_index":{"Multivariate":[0],"generalized":[1],"Gaussian":[2],"distributions":[3],"(MGGDs)":[4],"have":[5],"aroused":[6],"a":[7,42,55,70,83,87,95],"great":[8],"interest":[9],"in":[10],"the":[11,39,66,77],"image":[12,23,27,107],"processing":[13],"community":[14],"thanks":[15],"to":[16,19],"their":[17,33],"ability":[18],"describe":[20],"accurately":[21],"various":[22],"features,":[24],"such":[25],"as":[26],"gradient":[28,88],"fields.":[29],"However,":[30],"so":[31],"far":[32],"applicability":[34],"has":[35],"been":[36],"limited":[37],"by":[38],"lack":[40],"of":[41,46,61,65,99],"transformation":[43,57,79],"between":[44,58,80,90],"two":[45],"these":[47],"parametric":[48],"distributions.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53,104],"propose":[54,94],"novel":[56],"MGGDs,":[59],"consisting":[60],"an":[62],"optimal":[63],"transportation":[64],"second-order":[67],"statistics":[68],"and":[69,86,101],"stochastic-based":[71],"shape":[72],"parameter":[73],"transformation.":[74],"We":[75,92],"employ":[76],"proposed":[78],"MGGDs":[81],"for":[82,106],"color":[84,100,108],"transfer":[85,89,98],"images.":[91],"also":[93],"new":[96],"simultaneous":[97],"gradient,":[102],"which":[103],"apply":[105],"correction.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
