{"id":"https://openalex.org/W2891701858","doi":"https://doi.org/10.1109/icassp.2018.8461625","title":"Contourlet Based Natural Scene Statistics Using Student'S T Distribution","display_name":"Contourlet Based Natural Scene Statistics Using Student'S T Distribution","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2891701858","doi":"https://doi.org/10.1109/icassp.2018.8461625","mag":"2891701858"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5063784024","display_name":"Antonis Mairgiotis","orcid":null},"institutions":[{"id":"https://openalex.org/I51955386","display_name":"Technological Educational Institute of Thessaly","ror":"https://ror.org/04056ja87","country_code":"GR","type":"education","lineage":["https://openalex.org/I51955386"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Antonis Mairgiotis","raw_affiliation_strings":["Technological Educational Institute of Thessaly, Larissa, Greece"],"affiliations":[{"raw_affiliation_string":"Technological Educational Institute of Thessaly, Larissa, Greece","institution_ids":["https://openalex.org/I51955386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039261315","display_name":"Lisimachos P. Kondi","orcid":"https://orcid.org/0000-0002-0678-4526"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Lisimachos P. Kondi","raw_affiliation_strings":["University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081647257","display_name":"Yang-Yi Yang","orcid":"https://orcid.org/0000-0002-4564-8869"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yangyi Yang","raw_affiliation_strings":["Illinois Institute of Technology, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063784024"],"corresponding_institution_ids":["https://openalex.org/I51955386"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1436795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1698","last_page":"1702"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/contourlet","display_name":"Contourlet","score":0.9850500822067261},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.6467012166976929},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.6118053793907166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5776221752166748},{"id":"https://openalex.org/keywords/marginal-distribution","display_name":"Marginal distribution","score":0.5438241958618164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5257040858268738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5242538452148438},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5066338181495667},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.46427199244499207},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45917701721191406},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4335240125656128},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4075767695903778},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33578506112098694},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3106163740158081},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.25935035943984985},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19808262586593628},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.08302760124206543},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.08232468366622925}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.9850500822067261},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.6467012166976929},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.6118053793907166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5776221752166748},{"id":"https://openalex.org/C165216359","wikidata":"https://www.wikidata.org/wiki/Q670653","display_name":"Marginal distribution","level":3,"score":0.5438241958618164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5257040858268738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5242538452148438},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5066338181495667},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.46427199244499207},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45917701721191406},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4335240125656128},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4075767695903778},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33578506112098694},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3106163740158081},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.25935035943984985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19808262586593628},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.08302760124206543},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.08232468366622925},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8461625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W45374770","https://openalex.org/W1540920731","https://openalex.org/W1579925870","https://openalex.org/W1645564793","https://openalex.org/W1965445419","https://openalex.org/W1972697625","https://openalex.org/W2058815839","https://openalex.org/W2059495906","https://openalex.org/W2087081184","https://openalex.org/W2102136788","https://openalex.org/W2113945798","https://openalex.org/W2117853853","https://openalex.org/W2119938170","https://openalex.org/W2132984323","https://openalex.org/W2142635246","https://openalex.org/W2152652402","https://openalex.org/W4250059488","https://openalex.org/W6641819351","https://openalex.org/W6665272994","https://openalex.org/W6665282400","https://openalex.org/W6675297966","https://openalex.org/W6677760137"],"related_works":["https://openalex.org/W2981669125","https://openalex.org/W2383655479","https://openalex.org/W2073622612","https://openalex.org/W2117322591","https://openalex.org/W2561381828","https://openalex.org/W2107791150","https://openalex.org/W2893341095","https://openalex.org/W2055155232","https://openalex.org/W2196846653","https://openalex.org/W4241043257"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,43,66],"consider":[4,68],"contourlet":[5,35,58,86],"based":[6],"image":[7],"decomposition":[8],"as":[9,52],"a":[10,53],"convenient":[11],"framework":[12],"for":[13,55],"localized":[14],"representation":[15],"of":[16,30,60,72,84],"images":[17,32],"simultaneously":[18],"in":[19,33,76],"space,":[20],"frequency":[21],"(scale)":[22],"and":[23,95],"orientation.":[24],"Since":[25],"the":[26,34,45,57,69,80,85],"subband":[27],"marginal":[28],"distributions":[29],"natural":[31,61],"domain":[36],"are":[37],"highly":[38],"non-Gaussian":[39],"with":[40],"leptokurtotic":[41],"behavior,":[42],"propose":[44],"Student's":[46,73],"t":[47,74],"probability":[48],"density":[49],"function":[50],"(pdf)":[51],"prior":[54],"modeling":[56],"coefficients":[59],"images.":[62],"As":[63],"an":[64],"extension,":[65],"also":[67],"bivariate":[70],"form":[71],"pdf":[75],"order":[77],"to":[78],"capture":[79],"across":[81],"scales":[82],"dependencies":[83],"transform.":[87],"We":[88],"validate":[89],"our":[90],"proposal":[91],"by":[92],"adopting":[93],"subjective":[94],"objective":[96],"measures.":[97]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}