{"id":"https://openalex.org/W1972697625","doi":"https://doi.org/10.1109/iscas.2014.6865378","title":"Contourlet domain image modeling by using the alpha-stable family of distributions","display_name":"Contourlet domain image modeling by using the alpha-stable family of distributions","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W1972697625","doi":"https://doi.org/10.1109/iscas.2014.6865378","mag":"1972697625"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2014.6865378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2014.6865378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5072288399","display_name":"Hamidreza Sadreazami","orcid":"https://orcid.org/0000-0002-2624-0681"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"H. Sadreazami","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada","Dept. of Electr. & Comput. Eng., Concordia Univ., Montre\u0301al, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Concordia Univ., Montre\u0301al, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Omair Ahmad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada","Dept. of Electr. & Comput. Eng., Concordia Univ., Montre\u0301al, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Concordia Univ., Montre\u0301al, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013967994","display_name":"M.N.S. Swamy","orcid":"https://orcid.org/0000-0002-3989-5476"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. N. S. Swamy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada","Dept. of Electr. & Comput. Eng., Concordia Univ., Montre\u0301al, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Concordia Univ., Montre\u0301al, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1288","last_page":"1291"},"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.992900013923645,"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":0.9206209778785706},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6740865111351013},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6428185701370239},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6402568221092224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5817904472351074},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.5445535182952881},{"id":"https://openalex.org/keywords/generalized-normal-distribution","display_name":"Generalized normal distribution","score":0.45127880573272705},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44683200120925903},{"id":"https://openalex.org/keywords/gaussian-network-model","display_name":"Gaussian network model","score":0.4456602931022644},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4390912353992462},{"id":"https://openalex.org/keywords/heavy-tailed-distribution","display_name":"Heavy-tailed distribution","score":0.4382244646549225},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4041663706302643},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.35491111874580383},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32083314657211304},{"id":"https://openalex.org/keywords/normal-distribution","display_name":"Normal distribution","score":0.2833791673183441},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.27243509888648987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2441588044166565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1884079873561859},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1522015631198883},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.10334661602973938},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.09941044449806213},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08512967824935913}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.9206209778785706},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6740865111351013},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6428185701370239},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6402568221092224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5817904472351074},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.5445535182952881},{"id":"https://openalex.org/C171383496","wikidata":"https://www.wikidata.org/wiki/Q2497477","display_name":"Generalized normal distribution","level":3,"score":0.45127880573272705},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44683200120925903},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.4456602931022644},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4390912353992462},{"id":"https://openalex.org/C1602530","wikidata":"https://www.wikidata.org/wiki/Q1472677","display_name":"Heavy-tailed distribution","level":3,"score":0.4382244646549225},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4041663706302643},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.35491111874580383},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32083314657211304},{"id":"https://openalex.org/C102094743","wikidata":"https://www.wikidata.org/wiki/Q133871","display_name":"Normal distribution","level":2,"score":0.2833791673183441},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.27243509888648987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2441588044166565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1884079873561859},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1522015631198883},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.10334661602973938},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.09941044449806213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08512967824935913},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2014.6865378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2014.6865378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1484664922","https://openalex.org/W1534638135","https://openalex.org/W1540920731","https://openalex.org/W1667165204","https://openalex.org/W1970478368","https://openalex.org/W1971103086","https://openalex.org/W2003244095","https://openalex.org/W2086921236","https://openalex.org/W2102136788","https://openalex.org/W2117853853","https://openalex.org/W2122964006","https://openalex.org/W2144773076","https://openalex.org/W6675297966"],"related_works":["https://openalex.org/W1785138090","https://openalex.org/W2133587495","https://openalex.org/W2138374174","https://openalex.org/W2102136788","https://openalex.org/W2349394676","https://openalex.org/W2368565779","https://openalex.org/W2350964366","https://openalex.org/W2380770167","https://openalex.org/W2786224577","https://openalex.org/W1978163914"],"abstract_inverted_index":{"It":[0,90],"is":[1,75,91],"known":[2],"that":[3,41,93],"the":[4,24,27,32,58,62,65,94,105,110,115,125,129,133,138],"contourlet":[5,28,59,106],"coefficients":[6,29,66,81,108],"of":[7,17,26,42,64,97,124,128,136],"images":[8],"have":[9],"non-Gaussian":[10,85],"property":[11,86],"and":[12,37,87,118,132],"heavy":[13,88],"tails.":[14,89],"In":[15],"view":[16],"this,":[18],"an":[19],"appropriate":[20],"distribution":[21,73],"to":[22,104],"model":[23,103],"statistics":[25],"would":[30],"be":[31],"one":[33],"having":[34],"large":[35],"peaks,":[36],"tails":[38],"heavier":[39],"than":[40,109],"a":[43,47,53,70,83,100],"Gaussian":[44,117],"PDF,":[45],"i.e.,":[46],"heavy-tailed":[48],"PDF.":[49],"This":[50],"paper":[51],"proposes":[52],"new":[54],"image":[55],"modeling":[56,79],"in":[57,122],"domain,":[60],"where":[61],"magnitudes":[63],"are":[67],"modeled":[68],"by":[69],"symmetric":[71],"alpha-stable":[72,95],"which":[74],"best":[76],"suited":[77],"for":[78],"transform":[80],"with":[82],"high":[84],"shown":[92],"family":[96],"distributions":[98],"provides":[99],"more":[101],"accurate":[102],"subband":[107],"formerly":[111],"used":[112],"distributions,":[113,120],"namely,":[114],"generalized":[116],"Laplacian":[119],"both":[121],"terms":[123],"subjective":[126],"measure":[127,135],"Kolmogorov-Smirnov":[130],"distance":[131],"objective":[134],"comparing":[137],"log-scale":[139],"histograms.":[140]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
