{"id":"https://openalex.org/W2575237940","doi":"https://doi.org/10.3390/s17010174","title":"Effective Alternating Direction Optimization Methods for Sparsity-Constrained Blind Image Deblurring","display_name":"Effective Alternating Direction Optimization Methods for Sparsity-Constrained Blind Image Deblurring","publication_year":2017,"publication_date":"2017-01-18","ids":{"openalex":"https://openalex.org/W2575237940","doi":"https://doi.org/10.3390/s17010174","mag":"2575237940","pmid":"https://pubmed.ncbi.nlm.nih.gov/28106764"},"language":"en","primary_location":{"id":"doi:10.3390/s17010174","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17010174","pdf_url":"https://www.mdpi.com/1424-8220/17/1/174/pdf?version=1484717453","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/17/1/174/pdf?version=1484717453","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103216531","display_name":"Naixue Xiong","orcid":"https://orcid.org/0000-0002-0394-4635"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I24240638","display_name":"Southwestern Oklahoma State University","ror":"https://ror.org/01y8xtk20","country_code":"US","type":"education","lineage":["https://openalex.org/I24240638"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Naixue Xiong","raw_affiliation_strings":["Department of Business and Computer Science, Southwestern Oklahoma State University, Oklahoma, OK 73096, USA","Hubei Key Laboratory of Inland Shipping Technology, School of Navigation, Wuhan University of Technology, Wuhan 430063, China"],"raw_orcid":"https://orcid.org/0000-0002-0394-4635","affiliations":[{"raw_affiliation_string":"Department of Business and Computer Science, Southwestern Oklahoma State University, Oklahoma, OK 73096, USA","institution_ids":["https://openalex.org/I24240638"]},{"raw_affiliation_string":"Hubei Key Laboratory of Inland Shipping Technology, School of Navigation, Wuhan University of Technology, Wuhan 430063, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061907283","display_name":"Ryan Wen Liu","orcid":"https://orcid.org/0000-0002-1591-5583"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ryan Liu","raw_affiliation_strings":["Hubei Key Laboratory of Inland Shipping Technology, School of Navigation, Wuhan University of Technology, Wuhan 430063, China"],"raw_orcid":"https://orcid.org/0000-0002-1591-5583","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Inland Shipping Technology, School of Navigation, Wuhan University of Technology, Wuhan 430063, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050645983","display_name":"Maohan Liang","orcid":"https://orcid.org/0000-0001-7470-3313"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maohan Liang","raw_affiliation_strings":["Hubei Key Laboratory of Inland Shipping Technology, School of Navigation, Wuhan University of Technology, Wuhan 430063, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Inland Shipping Technology, School of Navigation, Wuhan University of Technology, Wuhan 430063, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087166824","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-6818-1886"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["School of Computer, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108575325","display_name":"Zhao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhao Liu","raw_affiliation_strings":["Hubei Key Laboratory of Inland Shipping Technology, School of Navigation, Wuhan University of Technology, Wuhan 430063, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Inland Shipping Technology, School of Navigation, Wuhan University of Technology, Wuhan 430063, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026540573","display_name":"Huisi Wu","orcid":"https://orcid.org/0000-0002-0399-9089"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huisi Wu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061907283","https://openalex.org/A5108575325"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":2.8014,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.9365395,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"17","issue":"1","first_page":"174","last_page":"174"},"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":0.9991000294685364,"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":0.9980999827384949,"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":0.9645746350288391},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.7671626806259155},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.6926651000976562},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6431043148040771},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6333048343658447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5814922451972961},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5148481726646423},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5028967261314392},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.487738698720932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44136542081832886},{"id":"https://openalex.org/keywords/latent-image","display_name":"Latent image","score":0.42547911405563354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4237223267555237},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3550569713115692},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33377379179000854},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28454241156578064},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2607532739639282},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.08583799004554749},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06839221715927124}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9645746350288391},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.7671626806259155},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.6926651000976562},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6431043148040771},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6333048343658447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5814922451972961},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5148481726646423},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5028967261314392},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.487738698720932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44136542081832886},{"id":"https://openalex.org/C205372313","wikidata":"https://www.wikidata.org/wiki/Q355645","display_name":"Latent image","level":3,"score":0.42547911405563354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4237223267555237},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3550569713115692},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33377379179000854},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28454241156578064},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2607532739639282},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.08583799004554749},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06839221715927124},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s17010174","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17010174","pdf_url":"https://www.mdpi.com/1424-8220/17/1/174/pdf?version=1484717453","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:28106764","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28106764","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:47a26975448047df94f0e4df8bf386d4","is_oa":true,"landing_page_url":"https://doaj.org/article/47a26975448047df94f0e4df8bf386d4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 17, Iss 1, p 174 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/17/1/174/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s17010174","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 17; Issue 1; Pages: 174","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5298747","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5298747","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s17010174","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17010174","pdf_url":"https://www.mdpi.com/1424-8220/17/1/174/pdf?version=1484717453","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G4847374999","display_name":null,"funder_award_id":"2016IVA063","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5722136985","display_name":null,"funder_award_id":"51609195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6295396824","display_name":null,"funder_award_id":"51179147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G765992311","display_name":null,"funder_award_id":"61303101","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W99498721","https://openalex.org/W212471645","https://openalex.org/W1166921479","https://openalex.org/W1492715921","https://openalex.org/W1510355813","https://openalex.org/W1570089119","https://openalex.org/W1598281290","https://openalex.org/W1677587299","https://openalex.org/W1916935112","https://openalex.org/W1922921373","https://openalex.org/W1973791143","https://openalex.org/W1974666774","https://openalex.org/W1976730913","https://openalex.org/W1979831996","https://openalex.org/W1987075379","https://openalex.org/W1988374871","https://openalex.org/W1989267105","https://openalex.org/W1992597617","https://openalex.org/W2000594266","https://openalex.org/W2010771616","https://openalex.org/W2014328540","https://openalex.org/W2018640163","https://openalex.org/W2027231794","https://openalex.org/W2032240925","https://openalex.org/W2036682493","https://openalex.org/W2037981501","https://openalex.org/W2043529138","https://openalex.org/W2045573972","https://openalex.org/W2045849979","https://openalex.org/W2050204708","https://openalex.org/W2057119676","https://openalex.org/W2064556594","https://openalex.org/W2071418062","https://openalex.org/W2087670913","https://openalex.org/W2088909704","https://openalex.org/W2091494211","https://openalex.org/W2098535678","https://openalex.org/W2098713549","https://openalex.org/W2103559027","https://openalex.org/W2103913786","https://openalex.org/W2110061212","https://openalex.org/W2113030459","https://openalex.org/W2122712590","https://openalex.org/W2126658928","https://openalex.org/W2141115311","https://openalex.org/W2147298660","https://openalex.org/W2148791483","https://openalex.org/W2161804069","https://openalex.org/W2163560167","https://openalex.org/W2163940565","https://openalex.org/W2167307343","https://openalex.org/W2169288322","https://openalex.org/W2173423263","https://openalex.org/W2187446163","https://openalex.org/W2189846329","https://openalex.org/W2233113827","https://openalex.org/W2244976115","https://openalex.org/W2245606498","https://openalex.org/W2253696294","https://openalex.org/W2294876837","https://openalex.org/W2331376995","https://openalex.org/W2338549604","https://openalex.org/W2410443392","https://openalex.org/W2996868574","https://openalex.org/W3121742466","https://openalex.org/W4292363360","https://openalex.org/W6681018295","https://openalex.org/W6703517456","https://openalex.org/W6721025879"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W2022101081","https://openalex.org/W2182590612","https://openalex.org/W2343807919","https://openalex.org/W791927757","https://openalex.org/W2269775642","https://openalex.org/W2539119970","https://openalex.org/W2905397092","https://openalex.org/W3080537281","https://openalex.org/W1965202376"],"abstract_inverted_index":{"Single-image":[0],"blind":[1,144],"deblurring":[2,145],"for":[3],"imaging":[4,49,238],"sensors":[5],"in":[6,90,244],"the":[7,24,33,51,66,76,81,98,104,115,123,129,133,137,142,150,170,177,202,224,236,241],"Internet":[8],"of":[9,68,75,80,103,119,128,136,153,183,206,240,246],"Things":[10],"(IoT)":[11],"is":[12,30,88,110,140,166],"a":[13,69,84,161],"challenging":[14],"ill-conditioned":[15],"inverse":[16],"problem,":[17],"which":[18],"requires":[19],"regularization":[20,86],"techniques":[21],"to":[22,31,93,149,190,222],"stabilize":[23],"image":[25,40,163],"restoration":[26,164],"process.":[27],"The":[28,101,231],"purpose":[29],"recover":[32],"underlying":[34],"blur":[35,52,82,99,106,138,191],"kernel":[36,53,107,120,139,192],"and":[37,95,122,176,194,216,248],"latent":[38],"sharp":[39],"from":[41],"only":[42,58],"one":[43],"blurred":[44,154],"image.":[45],"Under":[46],"many":[47],"degraded":[48],"conditions,":[50],"could":[54],"be":[55,147],"considered":[56],"not":[57],"spatially":[59],"sparse,":[60],"but":[61],"also":[62],"piecewise":[63],"smooth":[64],"with":[65,227],"support":[67],"continuous":[70],"curve.":[71],"By":[72],"taking":[73],"advantage":[74],"hybrid":[77,85],"sparse":[78],"properties":[79],"kernel,":[83],"method":[87,109,205,226,243],"proposed":[89,105,225,242],"this":[91],"paper":[92],"robustly":[94],"accurately":[96],"estimate":[97],"kernel.":[100],"effectiveness":[102],"estimation":[108,135,193],"enhanced":[111],"by":[112,200],"incorporating":[113],"both":[114,214],"L":[116,125,171],"1":[117,172],"-norm":[118,127,173],"intensity":[121,130],"squared":[124],"2":[126],"derivative.":[131],"Once":[132],"accurate":[134],"obtained,":[141],"original":[143],"can":[146],"simplified":[148],"direct":[151],"deconvolution":[152,196],"images.":[155],"To":[156],"guarantee":[157],"robust":[158],"non-blind":[159,195],"deconvolution,":[160],"variational":[162],"model":[165],"presented":[167],"based":[168],"on":[169,213],"data-fidelity":[174],"term":[175],"total":[178],"generalized":[179],"variation":[180],"(TGV)":[181],"regularizer":[182],"second-order.":[184],"All":[185],"non-smooth":[186],"optimization":[187],"problems":[188],"related":[189],"are":[197],"effectively":[198],"handled":[199],"using":[201],"alternating":[203],"direction":[204],"multipliers":[207],"(ADMM)-based":[208],"numerical":[209],"methods.":[210,230],"Comprehensive":[211],"experiments":[212],"synthetic":[215],"realistic":[217],"datasets":[218],"have":[219,234],"been":[220],"implemented":[221],"compare":[223],"several":[228],"state-of-the-art":[229],"experimental":[232],"comparisons":[233],"illustrated":[235],"satisfactory":[237],"performance":[239],"terms":[245],"quantitative":[247],"qualitative":[249],"evaluations.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
