{"id":"https://openalex.org/W1521729480","doi":"https://doi.org/10.1109/icce-tw.2015.7216958","title":"Efficient block adaptive point spread function estimation and out-of-focus image restoration scheme","display_name":"Efficient block adaptive point spread function estimation and out-of-focus image restoration scheme","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1521729480","doi":"https://doi.org/10.1109/icce-tw.2015.7216958","mag":"1521729480"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw.2015.7216958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw.2015.7216958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","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/A5019252212","display_name":"Yin\u2010Tsung Hwang","orcid":"https://orcid.org/0000-0001-9233-0477"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yin-Tsung Hwang","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Hsing University, Taiwan","[Department of Electrical Engineering, National Chung Hsing University, Taiwan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"[Department of Electrical Engineering, National Chung Hsing University, Taiwan]","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023400286","display_name":"Hung-Ruey Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung-Ruey Wen","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Hsing University, Taiwan","[Department of Electrical Engineering, National Chung Hsing University, Taiwan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"[Department of Electrical Engineering, National Chung Hsing University, Taiwan]","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012001982","display_name":"Bing-Chen Tsai","orcid":"https://orcid.org/0009-0004-4892-4656"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bing-Chen Tsai","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Hsing University, Taiwan","[Department of Electrical Engineering, National Chung Hsing University, Taiwan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"[Department of Electrical Engineering, National Chung Hsing University, Taiwan]","institution_ids":["https://openalex.org/I162838928"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162838928"],"apc_list":null,"apc_paid":null,"fwci":1.0757,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69473307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"388","last_page":"389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.818313479423523},{"id":"https://openalex.org/keywords/point-spread-function","display_name":"Point spread function","score":0.7816711664199829},{"id":"https://openalex.org/keywords/ringing-artifacts","display_name":"Ringing artifacts","score":0.7698845863342285},{"id":"https://openalex.org/keywords/wiener-deconvolution","display_name":"Wiener deconvolution","score":0.7283929586410522},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.7178943753242493},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.7064639925956726},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.6476393342018127},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6053213477134705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5443212389945984},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5319353342056274},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5102601051330566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4908059537410736},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4814833402633667},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46682044863700867},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4524860680103302},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4409337639808655},{"id":"https://openalex.org/keywords/ringing","display_name":"Ringing","score":0.4291662871837616},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.39332497119903564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.352786660194397},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12506306171417236},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07521897554397583},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.06775236129760742}],"concepts":[{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.818313479423523},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.7816711664199829},{"id":"https://openalex.org/C17828673","wikidata":"https://www.wikidata.org/wiki/Q7334899","display_name":"Ringing artifacts","level":3,"score":0.7698845863342285},{"id":"https://openalex.org/C15652857","wikidata":"https://www.wikidata.org/wiki/Q599016","display_name":"Wiener deconvolution","level":4,"score":0.7283929586410522},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.7178943753242493},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.7064639925956726},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.6476393342018127},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6053213477134705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5443212389945984},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5319353342056274},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5102601051330566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4908059537410736},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4814833402633667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46682044863700867},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4524860680103302},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4409337639808655},{"id":"https://openalex.org/C30684385","wikidata":"https://www.wikidata.org/wiki/Q176509","display_name":"Ringing","level":3,"score":0.4291662871837616},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.39332497119903564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.352786660194397},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12506306171417236},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07521897554397583},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.06775236129760742},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-tw.2015.7216958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw.2015.7216958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2003584634","https://openalex.org/W2049392174","https://openalex.org/W2127710167","https://openalex.org/W2127859120","https://openalex.org/W2130282553","https://openalex.org/W2149215667","https://openalex.org/W2149229105","https://openalex.org/W2153277901"],"related_works":["https://openalex.org/W2094499330","https://openalex.org/W2591816639","https://openalex.org/W2316473979","https://openalex.org/W3008080101","https://openalex.org/W2061562117","https://openalex.org/W2566126253","https://openalex.org/W2090262342","https://openalex.org/W2101128983","https://openalex.org/W2182805088","https://openalex.org/W2110061212"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,19,23,90],"blurred":[4,62],"image":[5,21,115],"restoration":[6],"scheme":[7,42,106],"is":[8,13,43,49,83,93,122],"proposed.":[9],"The":[10,118],"blurring":[11],"process":[12,82],"modeled":[14],"as":[15],"the":[16,37,40,67,70,80,97,104,109,113],"convolution":[17],"between":[18],"sharp":[20],"and":[22,46],"point":[24],"spread":[25],"function":[26],"(PSF).":[27],"Instead":[28],"of":[29,112],"deriving":[30],"one":[31],"PSF":[32,48,78],"applied":[33],"indiscriminately":[34],"to":[35,95],"restoring":[36],"entire":[38],"image,":[39],"proposed":[41,68,105],"block":[44,53],"adaptive":[45],"distinct":[47],"estimated":[50],"in":[51,66],"each":[52],"containing":[54],"high":[55],"frequency":[56],"components,":[57],"e.g.":[58],"edges.":[59],"Since":[60],"only":[61],"edges":[63],"are":[64],"refurbished":[65],"scheme,":[69],"computing":[71,119],"complexity":[72],"can":[73,107],"be":[74],"largely":[75],"reduced.":[76],"After":[77],"estimation,":[79],"deconvolution":[81],"performed":[84],"by":[85,116],"using":[86],"Wiener":[87],"Filter.":[88],"Finally,":[89],"median":[91],"filter":[92],"employed":[94],"mitigate":[96],"ringing":[98],"artifacts.":[99],"Experimental":[100],"results":[101],"show":[102],"that":[103],"enhance":[108],"PSNR":[110],"value":[111],"restored":[114],"2~3dB.":[117],"time,":[120],"however,":[121],"much":[123],"shorter":[124],"than":[125],"prior":[126],"arts":[127],"with":[128],"similar":[129],"performance.":[130]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
