{"id":"https://openalex.org/W2128672290","doi":"https://doi.org/10.1109/icassp.2009.4959675","title":"Image deconvolution using a Gaussian Scale Mixtures model to approximate the wavelet sparseness constraint","display_name":"Image deconvolution using a Gaussian Scale Mixtures model to approximate the wavelet sparseness constraint","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2128672290","doi":"https://doi.org/10.1109/icassp.2009.4959675","mag":"2128672290"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4959675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5061026302","display_name":"Yingsong Zhang","orcid":"https://orcid.org/0000-0002-9823-9794"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yingsong Zhang","raw_affiliation_strings":["Signal Processing & Communication Group, Department, University of Cambridge, Cambridge, UK","Signal Processing & Communication Group, Dept. of Engineering, University of Cambridge, CB2 1PZ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing & Communication Group, Department, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Signal Processing & Communication Group, Dept. of Engineering, University of Cambridge, CB2 1PZ, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110035142","display_name":"Nick Kingsbury","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nick Kingsbury","raw_affiliation_strings":["Signal Processing & Communication Group, Department, University of Cambridge, Cambridge, UK","Signal Processing & Communication Group, Dept. of Engineering, University of Cambridge, CB2 1PZ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing & Communication Group, Department, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Signal Processing & Communication Group, Dept. of Engineering, University of Cambridge, CB2 1PZ, UK","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":1.6095,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85932722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"681","last_page":"684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"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":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987000226974487,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/complex-wavelet-transform","display_name":"Complex wavelet transform","score":0.7427589893341064},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6704729795455933},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6446706652641296},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5376952886581421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49421241879463196},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.48644495010375977},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48308470845222473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44114676117897034},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42023757100105286},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.41768407821655273},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.41566792130470276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4084564745426178},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.3752375543117523},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37131160497665405}],"concepts":[{"id":"https://openalex.org/C2777885455","wikidata":"https://www.wikidata.org/wiki/Q5156615","display_name":"Complex wavelet transform","level":5,"score":0.7427589893341064},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6704729795455933},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6446706652641296},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5376952886581421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49421241879463196},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.48644495010375977},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48308470845222473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44114676117897034},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42023757100105286},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.41768407821655273},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.41566792130470276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4084564745426178},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.3752375543117523},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37131160497665405},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp.2009.4959675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.176.2580","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.176.2580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-sigproc.eng.cam.ac.uk/%7Engk/publications/Zhang_ICASSP_2009.pdf","raw_type":"text"},{"id":"pmh:oai:generic.eprints.org:154633","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/154633/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:generic.eprints.org:324052","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/324052/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W59771946","https://openalex.org/W1835905189","https://openalex.org/W1988601656","https://openalex.org/W1997958347","https://openalex.org/W2018332268","https://openalex.org/W2113740359","https://openalex.org/W2113945798","https://openalex.org/W2114147096","https://openalex.org/W2115706991","https://openalex.org/W2118459459","https://openalex.org/W2122768752","https://openalex.org/W2129199486","https://openalex.org/W2150211397","https://openalex.org/W2170462255","https://openalex.org/W2170885533","https://openalex.org/W3103184409","https://openalex.org/W6678740028","https://openalex.org/W6681903964"],"related_works":["https://openalex.org/W2053682625","https://openalex.org/W2183577172","https://openalex.org/W2385024119","https://openalex.org/W2144408025","https://openalex.org/W2382287448","https://openalex.org/W2066485764","https://openalex.org/W2144834862","https://openalex.org/W1506615375","https://openalex.org/W2100138396","https://openalex.org/W2205192157"],"abstract_inverted_index":{"This":[0,54],"paper":[1],"proposes":[2],"to":[3,17,34,71],"use":[4],"an":[5,36],"extended":[6],"Gaussian":[7],"Scale":[8],"Mixtures":[9],"(GSM)":[10],"model":[11,57],"instead":[12],"of":[13],"the":[14,19,23,44,63,69],"conventional":[15],"l1norm":[16],"approximate":[18],"sparseness":[20],"constraint":[21,30],"in":[22,78],"wavelet":[24,42,46,51],"domain.":[25],"We":[26],"combine":[27],"this":[28],"new":[29],"with":[31,75],"subband-dependent":[32],"minimization":[33],"formulate":[35],"iterative":[37],"algorithm":[38,70],"on":[39],"two":[40],"shift-invariant":[41],"transforms,":[43],"Shannon":[45],"transform":[47,52],"and":[48,66],"dual-tree":[49],"complex":[50],"(DTCWT).":[53],"extented":[55],"GSM":[56],"introduces":[58],"spatially":[59],"varying":[60],"information":[61],"into":[62],"deconvolution":[64],"process":[65],"thus":[67],"enables":[68],"achieve":[72],"better":[73],"results":[74],"fewer":[76],"iterations":[77],"our":[79],"experiments.":[80]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}