{"id":"https://openalex.org/W2023239270","doi":"https://doi.org/10.1109/dicta.2012.6411692","title":"Blurred Image Deconvolution Using Gaussian Scale Mixtures Model in Wavelet Domain","display_name":"Blurred Image Deconvolution Using Gaussian Scale Mixtures Model in Wavelet Domain","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2023239270","doi":"https://doi.org/10.1109/dicta.2012.6411692","mag":"2023239270"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2012.6411692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2012.6411692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)","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/A5078837810","display_name":"Muhammad Hanif","orcid":"https://orcid.org/0000-0002-9236-5263"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Muhammad Hanif","raw_affiliation_strings":["National ICT Australia, College of Engineering and Computer Science, Canberra, Australia","Canberra Res. Lab., Australian Nat. Univ., Canberra, ACT, Australia#TAB#"],"affiliations":[{"raw_affiliation_string":"National ICT Australia, College of Engineering and Computer Science, Canberra, Australia","institution_ids":["https://openalex.org/I42894916"]},{"raw_affiliation_string":"Canberra Res. Lab., Australian Nat. Univ., Canberra, ACT, Australia#TAB#","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084681382","display_name":"Abd\u2010Krim Seghouane","orcid":"https://orcid.org/0000-0003-4619-734X"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abd-Krim Seghouane","raw_affiliation_strings":["National ICT Australia, College of Engineering and Computer Science, Canberra, Australia","Canberra Res. Lab., Australian Nat. Univ., Canberra, ACT, Australia#TAB#"],"affiliations":[{"raw_affiliation_string":"National ICT Australia, College of Engineering and Computer Science, Canberra, Australia","institution_ids":["https://openalex.org/I42894916"]},{"raw_affiliation_string":"Canberra Res. Lab., Australian Nat. Univ., Canberra, ACT, Australia#TAB#","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078837810"],"corresponding_institution_ids":["https://openalex.org/I118347636","https://openalex.org/I42894916"],"apc_list":null,"apc_paid":null,"fwci":1.0982,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79219279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9954000115394592,"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":0.9930999875068665,"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/deconvolution","display_name":"Deconvolution","score":0.7233182191848755},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6791331768035889},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5734078288078308},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.5111175179481506},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4926338791847229},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.49209660291671753},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.47718513011932373},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4621366560459137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4450986981391907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44226619601249695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43392127752304077},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4172571003437042},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4025721549987793},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.389904260635376},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3639903664588928},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.275953471660614}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.7233182191848755},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6791331768035889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5734078288078308},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.5111175179481506},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4926338791847229},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.49209660291671753},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.47718513011932373},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4621366560459137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4450986981391907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44226619601249695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43392127752304077},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4172571003437042},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4025721549987793},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.389904260635376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3639903664588928},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.275953471660614},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2012.6411692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2012.6411692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/71559","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/71559","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2012 International Conference on Digital Image Computing Techniques and Applications, DICTA 2012","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W45374770","https://openalex.org/W584962943","https://openalex.org/W1489793438","https://openalex.org/W1971004273","https://openalex.org/W1989780541","https://openalex.org/W2027231794","https://openalex.org/W2049633694","https://openalex.org/W2098535678","https://openalex.org/W2098821691","https://openalex.org/W2105536051","https://openalex.org/W2110505738","https://openalex.org/W2113945798","https://openalex.org/W2119938170","https://openalex.org/W2120312294","https://openalex.org/W2124253112","https://openalex.org/W2124335859","https://openalex.org/W2126369166","https://openalex.org/W2131686571","https://openalex.org/W2134929491","https://openalex.org/W2138574546","https://openalex.org/W2141115311","https://openalex.org/W2150060382","https://openalex.org/W2156706175","https://openalex.org/W2162516089","https://openalex.org/W2594639291","https://openalex.org/W6674704741","https://openalex.org/W6677760137","https://openalex.org/W6678709649"],"related_works":["https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161","https://openalex.org/W2586325539","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2029084792","https://openalex.org/W2023738877","https://openalex.org/W2075075842","https://openalex.org/W2026824768"],"abstract_inverted_index":{"Image":[0],"restoration":[1],"(deconvolution)":[2],"is":[3,36,58],"a":[4,54,147],"basic":[5],"step":[6],"for":[7],"image":[8,17,124],"processing,":[9],"analysis":[10],"and":[11,102,131,152,157],"computer":[12],"vision.":[13],"We":[14,112],"addressed":[15],"blurred":[16],"deconvolution":[18],"problem":[19],"using":[20,38,60],"Expectation":[21],"maximization":[22],"(EM)":[23],"based":[24],"approach":[25,117],"in":[26,118,158],"the":[27,39,48,68,83,94,107,141],"wavelet":[28,34,119],"domain.":[29],"The":[30,52,73],"sparsity":[31],"property":[32],"of":[33,41,65,70,110,143,150,160],"coefficients":[35],"modelled":[37],"class":[40],"Gaussian":[42,133],"Scale":[43],"Mixture":[44],"(GSM),":[45],"which":[46],"represents":[47],"heavy-tailed":[49],"statistical":[50],"distribution.":[51],"maximum":[53],"posterior":[55],"(MAP)":[56],"estimate":[57],"computed":[59],"EM,":[61],"where":[62],"scale":[63],"factors":[64],"GSM":[66],"plays":[67],"role":[69],"hidden":[71,75],"variables.":[72],"estimated":[74],"scaling":[76],"variables":[77],"are":[78,137],"then":[79],"used":[80],"to":[81,121,139,162],"restore":[82,122],"original":[84],"image.":[85],"Although":[86],"similar":[87],"formulations":[88],"have":[89,98],"been":[90,99],"proposed":[91,113],"before":[92],"but":[93],"resulting":[95],"optimization":[96],"problems":[97],"computationally":[100],"demanding":[101],"sometimes":[103],"depends":[104],"heavily":[105],"on":[106],"initial":[108],"values":[109],"parameters.":[111],"an":[114,123],"optimized":[115],"Bayesian":[116],"domain":[120],"degraded":[125],"by":[126],"linear":[127],"distortion":[128],"(e.g.,":[129],"blur)":[130],"additive":[132],"noise.":[134],"Simulation":[135],"results":[136],"presented":[138],"demonstrate":[140],"quality":[142],"our":[144],"method,":[145],"over":[146],"wide":[148],"range":[149],"blur":[151],"noise":[153,163],"level,":[154],"both":[155],"visually":[156],"terms":[159],"signal":[161],"ratio.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
