{"id":"https://openalex.org/W1987313865","doi":"https://doi.org/10.1142/s0219467811004147","title":"BLIND IMAGE RESTORATION WITH MODIFIED CMA","display_name":"BLIND IMAGE RESTORATION WITH MODIFIED CMA","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W1987313865","doi":"https://doi.org/10.1142/s0219467811004147","mag":"1987313865"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467811004147","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467811004147","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5080366458","display_name":"Liyun Su","orcid":"https://orcid.org/0000-0001-7150-2161"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"LIYUN SU","raw_affiliation_strings":["School of Mathematics and Statistics, Chongqing University of Technology, No. 69, Hongguang Road, Banan District, Chongqing 400054, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Chongqing University of Technology, No. 69, Hongguang Road, Banan District, Chongqing 400054, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019169592","display_name":"Ruihua Liu","orcid":"https://orcid.org/0009-0008-5936-3857"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"RUIHUA LIU","raw_affiliation_strings":["School of Mathematics and Statistics, Chongqing University of Technology, No. 69, Hongguang Road, Banan District, Chongqing 400054, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Chongqing University of Technology, No. 69, Hongguang Road, Banan District, Chongqing 400054, China","institution_ids":["https://openalex.org/I50632499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080366458"],"corresponding_institution_ids":["https://openalex.org/I50632499"],"apc_list":null,"apc_paid":null,"fwci":0.5151,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66590828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":"03","first_page":"403","last_page":"413"},"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/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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9984999895095825,"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/image-restoration","display_name":"Image restoration","score":0.7829459309577942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5385440587997437},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5021688938140869},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.48736244440078735},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.48594558238983154},{"id":"https://openalex.org/keywords/point-spread-function","display_name":"Point spread function","score":0.4679849147796631},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4605289101600647},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45226824283599854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4458487927913666},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4280480146408081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4196012616157532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3837033212184906},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3591799736022949},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.09780052304267883}],"concepts":[{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.7829459309577942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5385440587997437},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5021688938140869},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.48736244440078735},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.48594558238983154},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.4679849147796631},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4605289101600647},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45226824283599854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4458487927913666},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4280480146408081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4196012616157532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3837033212184906},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3591799736022949},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.09780052304267883},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467811004147","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467811004147","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1968787332","https://openalex.org/W1987319943","https://openalex.org/W1991105366","https://openalex.org/W2052914491","https://openalex.org/W2081458845","https://openalex.org/W2096928117","https://openalex.org/W2099772554","https://openalex.org/W2110505738","https://openalex.org/W2113824004","https://openalex.org/W2123422407","https://openalex.org/W2124253112","https://openalex.org/W2129306078","https://openalex.org/W2143675749","https://openalex.org/W2146640671","https://openalex.org/W2160498832","https://openalex.org/W2163140044","https://openalex.org/W2170950194","https://openalex.org/W2186732204","https://openalex.org/W4212991200"],"related_works":["https://openalex.org/W2808332603","https://openalex.org/W1522749619","https://openalex.org/W2974904990","https://openalex.org/W2144336166","https://openalex.org/W2079262912","https://openalex.org/W2888591766","https://openalex.org/W2997591215","https://openalex.org/W2018534838","https://openalex.org/W2072705653","https://openalex.org/W2090383508"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,25,50],"new":[4],"blind":[5],"restoration":[6],"scheme":[7,43],"for":[8],"blurred":[9,15,46,95],"noisy":[10,16,47,96],"image":[11,17,48,97],"is":[12,18,84,104],"proposed.":[13],"The":[14,42],"assumed":[19],"to":[20],"be":[21],"the":[22,45,62,79,82,88,101],"output":[23,80],"of":[24,81,87],"linear":[26],"space-invariant":[27],"(LSI)":[28],"system":[29],"with":[30,68],"an":[31,39,85],"unknown":[32],"point":[33],"spread":[34],"function":[35],"(PSF)":[36],"contaminated":[37],"by":[38,61],"additive":[40],"noise.":[41],"passes":[44],"through":[49],"two-dimensional":[51],"(2D)":[52],"finite":[53],"impulse":[54],"response":[55],"filter":[56,83],"whose":[57],"parameters":[58],"are":[59],"updated":[60],"modified":[63],"constant":[64],"modulus":[65],"algorithm":[66,103],"(CMA)":[67],"averaging":[69],"and":[70,93,106],"variable":[71],"step":[72],"size":[73],"adaptive":[74],"filter.":[75],"When":[76],"convergence":[77],"occurs,":[78],"estimate":[86],"unobserved":[89],"true":[90],"image.":[91],"Simulation":[92],"real":[94],"results":[98],"show":[99],"that":[100],"presented":[102],"effective":[105],"robust.":[107]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}