{"id":"https://openalex.org/W4400409516","doi":"https://doi.org/10.1109/tcsvt.2024.3424675","title":"Blind Image Deblurring via Minimizing Similarity Between Fuzzy Sets on Image Pixels","display_name":"Blind Image Deblurring via Minimizing Similarity Between Fuzzy Sets on Image Pixels","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4400409516","doi":"https://doi.org/10.1109/tcsvt.2024.3424675"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3424675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3424675","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","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/A5111070180","display_name":"Junge Peng","orcid":"https://orcid.org/0000-0002-8899-004X"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junge Peng","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Chengdu, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063517725","display_name":"Bing Luo","orcid":"https://orcid.org/0000-0002-5686-4946"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Luo","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Chengdu, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101205115","display_name":"Li Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Xu","raw_affiliation_strings":["School of Science, Xihua University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Xihua University, Chengdu, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101589722","display_name":"Jun Yang","orcid":"https://orcid.org/0000-0003-0971-6593"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yang","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Chengdu, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773781","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-7705-8505"},"institutions":[{"id":"https://openalex.org/I4210147983","display_name":"Guangdong Police College","ror":"https://ror.org/05krxyw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210147983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Policing, Sichuan Police College, Luzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Policing, Sichuan Police College, Luzhou, China","institution_ids":["https://openalex.org/I4210147983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046280013","display_name":"Zheng Pei","orcid":"https://orcid.org/0000-0001-5757-6607"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Pei","raw_affiliation_strings":["School of Science, Xihua University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Xihua University, Chengdu, China","institution_ids":["https://openalex.org/I102345215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5111070180"],"corresponding_institution_ids":["https://openalex.org/I102345215"],"apc_list":null,"apc_paid":null,"fwci":1.0503,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77237058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"34","issue":"11","first_page":"11851","last_page":"11873"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9976999759674072,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9857000112533569,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.892258882522583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7023416757583618},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6630879640579224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.642386257648468},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5572592616081238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5441433787345886},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5335187315940857},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.524992823600769},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4580729007720947},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.45718711614608765},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4470333456993103},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.41159650683403015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38766950368881226}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.892258882522583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7023416757583618},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6630879640579224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.642386257648468},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5572592616081238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5441433787345886},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5335187315940857},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.524992823600769},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4580729007720947},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.45718711614608765},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4470333456993103},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.41159650683403015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38766950368881226}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3424675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3424675","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6838816535","display_name":null,"funder_award_id":"61801398","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W565587792","https://openalex.org/W1457323852","https://openalex.org/W1604428010","https://openalex.org/W1916935112","https://openalex.org/W1978333359","https://openalex.org/W1982776174","https://openalex.org/W1987075379","https://openalex.org/W2010771616","https://openalex.org/W2016859302","https://openalex.org/W2027231794","https://openalex.org/W2036682493","https://openalex.org/W2073824442","https://openalex.org/W2098535678","https://openalex.org/W2121927366","https://openalex.org/W2125188192","https://openalex.org/W2133665775","https://openalex.org/W2138204001","https://openalex.org/W2141115311","https://openalex.org/W2161922322","https://openalex.org/W2167307343","https://openalex.org/W2169551590","https://openalex.org/W2282429601","https://openalex.org/W2331376995","https://openalex.org/W2465552163","https://openalex.org/W2474628748","https://openalex.org/W2560533888","https://openalex.org/W2740543610","https://openalex.org/W2798735168","https://openalex.org/W2810693923","https://openalex.org/W2905621769","https://openalex.org/W2909370557","https://openalex.org/W2946987243","https://openalex.org/W2955179830","https://openalex.org/W2963312584","https://openalex.org/W2964013315","https://openalex.org/W2964030969","https://openalex.org/W2965217508","https://openalex.org/W2973468176","https://openalex.org/W2997956024","https://openalex.org/W3003954661","https://openalex.org/W3010458130","https://openalex.org/W3034724715","https://openalex.org/W3035484352","https://openalex.org/W3080323865","https://openalex.org/W3107405705","https://openalex.org/W3109746756","https://openalex.org/W3110031215","https://openalex.org/W3177293728","https://openalex.org/W3191346024","https://openalex.org/W3202288348","https://openalex.org/W4236387761","https://openalex.org/W4242872809","https://openalex.org/W4289127527","https://openalex.org/W4293370661","https://openalex.org/W4328008201","https://openalex.org/W4379928090","https://openalex.org/W4383899782","https://openalex.org/W4386416846","https://openalex.org/W4387042228","https://openalex.org/W6678856934"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W2905397092","https://openalex.org/W3153582293","https://openalex.org/W3207832039","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960"],"abstract_inverted_index":{"Most":[0],"existing":[1],"image":[2,47,53,86],"deblurring":[3,149],"methods":[4,150],"construct":[5,118],"statistical":[6],"prior":[7],"to":[8,45,88,117],"describe":[9,59],"the":[10,19,60,79,90,107,114,128,138,146],"difference":[11],"between":[12,81,109,130],"blur":[13,91],"and":[14,22,71,77,102,154],"clear":[15],"image.":[16],"They":[17],"discard":[18],"position":[20],"information":[21],"ignore":[23],"pixel":[24,43,61],"feature":[25],"changing":[26],"in":[27,31,73],"deblurring,":[28],"which":[29,96],"results":[30,135],"inferior":[32],"restoration":[33],"performance":[34,144],"for":[35],"images":[36],"unsatisfying":[37],"corresponding":[38],"assumptions.":[39],"Intuitively,":[40],"fuzziness":[41,68],"of":[42,69,93],"belonging":[44],"different":[46],"regions":[48],"will":[49],"reduce":[50,127],"along":[51],"with":[52],"deblurring.":[54],"This":[55],"phenomenon":[56],"could":[57,125],"intrinsically":[58],"characteristic.":[62],"To":[63,105],"this":[64],"end,":[65],"we":[66,112],"analyze":[67],"pixels":[70,87],"objects":[72,84],"a":[74],"blurry":[75],"image,":[76,95],"utilize":[78],"similarity":[80,108,129],"two":[82,131],"fuzzy":[83,110,132],"on":[85,151],"depict":[89],"degree":[92],"an":[94,119],"is":[97],"inspired":[98],"by":[99],"overlap":[100,103],"functions":[101],"indices.":[104],"minimize":[106],"objects,":[111],"introduce":[113],"non-parameters":[115],"model":[116],"integer":[120],"programming":[121],"problem.":[122],"Energy":[123],"minimization":[124],"significantly":[126],"objects.":[133],"Experimental":[134],"show":[136],"that":[137],"proposed":[139],"method":[140],"can":[141],"achieve":[142],"better":[143],"than":[145],"state-of-the-art":[147],"blind":[148],"benchmark":[152],"datasets":[153],"natural":[155],"images.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-02-25T23:00:34.991745","created_date":"2025-10-10T00:00:00"}
