{"id":"https://openalex.org/W1988135597","doi":"https://doi.org/10.1109/icics.2013.6782941","title":"Frame-based image deblurring with balanced-compound regularization","display_name":"Frame-based image deblurring with balanced-compound regularization","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1988135597","doi":"https://doi.org/10.1109/icics.2013.6782941","mag":"1988135597"},"language":"en","primary_location":{"id":"doi:10.1109/icics.2013.6782941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2013.6782941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 9th International Conference on Information, Communications &amp; Signal Processing","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/A5109166640","display_name":"Shoulie Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Shoulie Xie","raw_affiliation_strings":["Signal Processing Department, Institute for Infocomm Research, Singapore","Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Signal Processing Department, Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054558832","display_name":"Susanto Rahardja","orcid":"https://orcid.org/0000-0003-0831-6934"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Susanto Rahardja","raw_affiliation_strings":["Signal Processing Department, Institute for Infocomm Research, Singapore","Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Signal Processing Department, Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109166640"],"corresponding_institution_ids":["https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06503758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.9131642580032349},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.761066198348999},{"id":"https://openalex.org/keywords/parsevals-theorem","display_name":"Parseval's theorem","score":0.6562947630882263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5237707495689392},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4950982630252838},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.4907611310482025},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4260874390602112},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4149847626686096},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4106907248497009},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3277055025100708},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3183204233646393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29498374462127686},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2778872847557068},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.24203816056251526},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.21951568126678467},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.12641525268554688},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.12405332922935486}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9131642580032349},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.761066198348999},{"id":"https://openalex.org/C89451469","wikidata":"https://www.wikidata.org/wiki/Q1443036","display_name":"Parseval's theorem","level":5,"score":0.6562947630882263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5237707495689392},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4950982630252838},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.4907611310482025},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4260874390602112},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4149847626686096},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4106907248497009},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3277055025100708},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3183204233646393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29498374462127686},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2778872847557068},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.24203816056251526},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.21951568126678467},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.12641525268554688},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.12405332922935486},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"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":1,"locations":[{"id":"doi:10.1109/icics.2013.6782941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2013.6782941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 9th International Conference on Information, Communications &amp; Signal Processing","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":15,"referenced_works":["https://openalex.org/W1966083533","https://openalex.org/W1969843291","https://openalex.org/W1997431226","https://openalex.org/W2003372231","https://openalex.org/W2006262045","https://openalex.org/W2014183532","https://openalex.org/W2019043293","https://openalex.org/W2045079045","https://openalex.org/W2058532290","https://openalex.org/W2068842398","https://openalex.org/W2100705753","https://openalex.org/W2123031198","https://openalex.org/W2244987555","https://openalex.org/W3106359998","https://openalex.org/W4302067267"],"related_works":["https://openalex.org/W4308216825","https://openalex.org/W4312281738","https://openalex.org/W2786875726","https://openalex.org/W4287817146","https://openalex.org/W2062923025","https://openalex.org/W2008686286","https://openalex.org/W2066650801","https://openalex.org/W2800988248","https://openalex.org/W4385064145","https://openalex.org/W4297883503"],"abstract_inverted_index":{"This":[0,146],"paper":[1],"presents":[2],"a":[3,32,68,90,95,107],"novel":[4],"balanced-compound":[5,16,100,126],"regularization":[6,17,87],"approach":[7,127,138],"for":[8,179],"solving":[9],"the":[10,78,81,85,99,112,124,135,151,158,165,169,172,180],"frame-based":[11,181],"image":[12,143,182],"deblurring.":[13,183],"The":[14],"proposed":[15,86,125],"employs":[18],"two":[19],"different":[20],"frames":[21,163],"as":[22,31],"synthesis":[23,52,74],"and":[24,27,67,94,111,164],"analysis":[25,64],"operators,":[26],"it":[28],"is":[29,103,148],"formulated":[30],"minimization":[33],"problem":[34,102],"involving":[35],"an":[36,43,55],"\u2113":[37,44,56],"<sub":[38,45,57],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[39,46,58],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[40],"data-fidelity":[41],"term,":[42],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[47,59],"regularizer":[48,60,93],"on":[49,61,70,106],"sparsity":[50,62],"of":[51,63,72,80,89,117,168],"frame":[53,65,75,82],"coefficients,":[54],"operator,":[66],"penalty":[69],"distance":[71],"sparse":[73],"coefficients":[76],"to":[77,150],"range":[79],"operator.":[83],"Thus":[84],"consists":[88],"synthesis-analysis":[91,137],"compound":[92],"balanced":[96,153],"regularizer.":[97],"Then":[98],"optimal":[101],"solved":[104],"based":[105],"variable":[108],"splitting":[109],"strategy":[110],"classical":[113],"alternating":[114],"direction":[115],"method":[116],"multiplier":[118],"(ADMM).":[119],"Numerical":[120],"simulations":[121],"show":[122],"that":[123],"can":[128,176],"achieve":[129],"less":[130],"coefficient":[131],"estimated":[132],"error":[133],"than":[134],"hybrid":[136],"under":[139],"comparable":[140],"qualities":[141],"in":[142],"deblurring":[144],"problem.":[145],"improvement":[147],"due":[149],"added":[152],"term.":[154],"Moreover,":[155],"by":[156],"exploiting":[157],"related":[159],"fast":[160],"tight":[161],"Parseval":[162],"special":[166],"structure":[167],"observation":[170],"matrix,":[171],"regularized":[173],"Hessian":[174],"matrix":[175],"perform":[177],"efficiently":[178]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
