{"id":"https://openalex.org/W3006708043","doi":"https://doi.org/10.1109/access.2020.2974913","title":"A Convex Variational Approach for Image Deblurring With Multiplicative Structured Noise","display_name":"A Convex Variational Approach for Image Deblurring With Multiplicative Structured Noise","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3006708043","doi":"https://doi.org/10.1109/access.2020.2974913","mag":"3006708043"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2974913","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2974913","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09001023.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09001023.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045027882","display_name":"Tingting Wu","orcid":"https://orcid.org/0000-0002-9880-8619"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tingting Wu","raw_affiliation_strings":["School of Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736642","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-7269-2742"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440653","display_name":"Lihua Li","orcid":"https://orcid.org/0000-0003-0435-6453"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Li","raw_affiliation_strings":["College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059443966","display_name":"Tieyong Zeng","orcid":"https://orcid.org/0000-0002-0688-202X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Tieyong Zeng","raw_affiliation_strings":["Department of Mathematics, The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045027882"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.687,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.71065283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"37790","last_page":"37807"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"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/deblurring","display_name":"Deblurring","score":0.9524909257888794},{"id":"https://openalex.org/keywords/multiplicative-noise","display_name":"Multiplicative noise","score":0.7311897873878479},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.674912691116333},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6075654029846191},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5184018611907959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5137763619422913},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.48966720700263977},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.4889351427555084},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.4707152247428894},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4604988098144531},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.45999017357826233},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4539291262626648},{"id":"https://openalex.org/keywords/value-noise","display_name":"Value noise","score":0.452246755361557},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45047247409820557},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4369580149650574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4313041567802429},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4248160123825073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4221540093421936},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4188949167728424},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4026508331298828},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38858065009117126},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.21205303072929382},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10423067212104797},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.10258689522743225},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06851029396057129}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9524909257888794},{"id":"https://openalex.org/C18015164","wikidata":"https://www.wikidata.org/wiki/Q6935000","display_name":"Multiplicative noise","level":5,"score":0.7311897873878479},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.674912691116333},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6075654029846191},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5184018611907959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5137763619422913},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.48966720700263977},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.4889351427555084},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.4707152247428894},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4604988098144531},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.45999017357826233},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4539291262626648},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.452246755361557},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45047247409820557},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4369580149650574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4313041567802429},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4248160123825073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4221540093421936},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4188949167728424},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4026508331298828},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38858065009117126},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.21205303072929382},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10423067212104797},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.10258689522743225},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06851029396057129},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.0},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2974913","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2974913","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09001023.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f69a10da79a24ebb84891034e651fdf4","is_oa":true,"landing_page_url":"https://doaj.org/article/f69a10da79a24ebb84891034e651fdf4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 37790-37807 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2974913","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2974913","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09001023.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.75}],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1288939582","display_name":null,"funder_award_id":"11671002,","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1341104976","display_name":null,"funder_award_id":"415/19","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G1417320811","display_name":null,"funder_award_id":"NSFC/RGC N_CUHK 415/19","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G1655140972","display_name":null,"funder_award_id":"U1809205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1971714735","display_name":null,"funder_award_id":"4053296","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G2603039567","display_name":null,"funder_award_id":"RGC 14300219","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G302934258","display_name":null,"funder_award_id":"4053296,","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G3195485356","display_name":null,"funder_award_id":"RGC 14300219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4514354982","display_name":null,"funder_award_id":"4053342","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6258415954","display_name":null,"funder_award_id":"Chinese","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7145166970","display_name":null,"funder_award_id":"11671002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7306601982","display_name":null,"funder_award_id":"14300219","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G7340354502","display_name":null,"funder_award_id":"11501301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7642105213","display_name":null,"funder_award_id":"1311 Talent Plan","funder_id":"https://openalex.org/F4320323268","funder_display_name":"Nanjing University of Posts and Telecommunications"},{"id":"https://openalex.org/G7643296255","display_name":null,"funder_award_id":"61731008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G890893053","display_name":null,"funder_award_id":"N_CUHK 415/19","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G954719079","display_name":null,"funder_award_id":"61971234","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"},{"id":"https://openalex.org/F4320323268","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34"},{"id":"https://openalex.org/F4320324852","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3006708043.pdf","grobid_xml":"https://content.openalex.org/works/W3006708043.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W1434777","https://openalex.org/W112727521","https://openalex.org/W1808185562","https://openalex.org/W1964997286","https://openalex.org/W1998339281","https://openalex.org/W2000594266","https://openalex.org/W2010825468","https://openalex.org/W2011516671","https://openalex.org/W2013388817","https://openalex.org/W2024661139","https://openalex.org/W2024829682","https://openalex.org/W2027051720","https://openalex.org/W2039939700","https://openalex.org/W2041544287","https://openalex.org/W2048291471","https://openalex.org/W2052086239","https://openalex.org/W2067021786","https://openalex.org/W2067291138","https://openalex.org/W2086670019","https://openalex.org/W2099970996","https://openalex.org/W2101891472","https://openalex.org/W2103559027","https://openalex.org/W2119403778","https://openalex.org/W2133665775","https://openalex.org/W2135678277","https://openalex.org/W2156198683","https://openalex.org/W2156579951","https://openalex.org/W2160016589","https://openalex.org/W2160637922","https://openalex.org/W2161804069","https://openalex.org/W2165752523","https://openalex.org/W2169288322","https://openalex.org/W2171664034","https://openalex.org/W2214394684","https://openalex.org/W2266250228","https://openalex.org/W2266495241","https://openalex.org/W2279615439","https://openalex.org/W2279936359","https://openalex.org/W2325778030","https://openalex.org/W2429289397","https://openalex.org/W2469081269","https://openalex.org/W2585778379","https://openalex.org/W2588394918","https://openalex.org/W2608329453","https://openalex.org/W2620572300","https://openalex.org/W2686256267","https://openalex.org/W2730910513","https://openalex.org/W2754809508","https://openalex.org/W2755200181","https://openalex.org/W2782436306","https://openalex.org/W2789808916","https://openalex.org/W2792907898","https://openalex.org/W2793410370","https://openalex.org/W2797961889","https://openalex.org/W2804445799","https://openalex.org/W2895111334","https://openalex.org/W2908987463","https://openalex.org/W2917736069","https://openalex.org/W2953843381","https://openalex.org/W2955179830","https://openalex.org/W2963089739","https://openalex.org/W2964736125","https://openalex.org/W2970698699","https://openalex.org/W2973156757","https://openalex.org/W2973468176","https://openalex.org/W2977894483","https://openalex.org/W3015304332","https://openalex.org/W6682872571","https://openalex.org/W6736630380","https://openalex.org/W6776104217"],"related_works":["https://openalex.org/W2949211747","https://openalex.org/W2085803788","https://openalex.org/W4378464573","https://openalex.org/W2980586888","https://openalex.org/W2354872990","https://openalex.org/W2161471497","https://openalex.org/W2391941905","https://openalex.org/W2561135608","https://openalex.org/W2575434249","https://openalex.org/W2394041740"],"abstract_inverted_index":{"The":[0],"restoration":[1,30],"of":[2,17,31,78,114,122,134,149],"images":[3,33,58,98,116],"corrupted":[4],"by":[5,35,119],"blurring":[6,36,60],"and":[7,20,37,51,61,82,147],"structured":[8,39,43,63,101],"noise":[9,40,44,81],"has":[10],"attracted":[11],"growing":[12],"attention":[13],"in":[14],"the":[15,29,32,71,75,79,83,111,115,145,150],"domains":[16],"image":[18],"processing":[19],"computer":[21],"vision.":[22],"However,":[23],"many":[24],"works":[25],"only":[26],"focus":[27],"on":[28,70],"degraded":[34,57],"additive":[38],"or":[41],"multiplicative":[42,62,100],"separately.":[45],"It":[46],"is":[47,137],"still":[48],"a":[49,85,91],"challenge":[50],"an":[52,129],"open":[53],"problem":[54],"to":[55,95,104,143],"restore":[56],"with":[59,99],"noise,":[64],"simultaneously.":[65],"In":[66],"this":[67,106,126],"paper,":[68],"based":[69],"total":[72],"variation":[73],"(TV),":[74],"statistical":[76],"property":[77],"Gamma":[80],"maximum":[84],"posteriori":[86],"(MAP)":[87],"estimator,":[88],"we":[89,109],"obtain":[90],"convex":[92,107,127],"variational":[93],"model":[94,118],"recover":[96],"blurred":[97],"noise.":[102],"Especially,":[103],"get":[105],"model,":[108,128],"reformulate":[110],"prior":[112],"assumption":[113],"degradation":[117],"division":[120],"instead":[121],"multiplication.":[123],"For":[124],"solving":[125],"effective":[130],"alternating":[131],"direction":[132],"method":[133],"multipliers":[135],"(ADMM)":[136],"employed.":[138],"Numerical":[139],"experiments":[140],"are":[141],"presented":[142],"illustrate":[144],"effectiveness":[146],"efficiency":[148],"proposed":[151],"model.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}