{"id":"https://openalex.org/W2246817777","doi":"https://doi.org/10.1109/icnc.2015.7378113","title":"A no-reference image blur metric based on two-pass edge analysis","display_name":"A no-reference image blur metric based on two-pass edge analysis","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2246817777","doi":"https://doi.org/10.1109/icnc.2015.7378113","mag":"2246817777"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2015.7378113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2015.7378113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th International Conference on Natural Computation (ICNC)","raw_type":"proceedings-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/A5020778225","display_name":"Xiaoyu Ma","orcid":"https://orcid.org/0000-0001-8144-0232"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Ma","raw_affiliation_strings":["Information Engineering School, Communication University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering School, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001235027","display_name":"Xiuhua Jiang","orcid":"https://orcid.org/0000-0002-2422-942X"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuhua Jiang","raw_affiliation_strings":["Information Engineering School, Communication University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering School, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434112","display_name":"Xiaohua Lei","orcid":"https://orcid.org/0000-0002-4267-2118"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Lei","raw_affiliation_strings":["Information Engineering School, Communication University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering School, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626319","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0002-4861-0540"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Information Engineering School, Communication University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering School, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100651735","display_name":"Ping Liu","orcid":"https://orcid.org/0000-0002-1534-3351"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ping Liu","raw_affiliation_strings":["National Center for Public Cultural Services, Ministry of Culture of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Center for Public Cultural Services, Ministry of Culture of China, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3744,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70172934,"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":"919","last_page":"924"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9987000226974487,"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":0.9980000257492065,"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/computer-vision","display_name":"Computer vision","score":0.7435042262077332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7178207635879517},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6559175848960876},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6361030340194702},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6057735085487366},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5833737254142761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5305944681167603},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.495017945766449},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.41742897033691406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3590625524520874},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.33741968870162964},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30493032932281494},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0631038248538971}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7435042262077332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7178207635879517},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6559175848960876},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6361030340194702},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6057735085487366},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5833737254142761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5305944681167603},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.495017945766449},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.41742897033691406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3590625524520874},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.33741968870162964},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30493032932281494},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0631038248538971},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2015.7378113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2015.7378113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th International Conference on Natural Computation (ICNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1977156738","https://openalex.org/W2078101614","https://openalex.org/W2108364340","https://openalex.org/W2133665775","https://openalex.org/W2134534805","https://openalex.org/W2366660208","https://openalex.org/W2540314046"],"related_works":["https://openalex.org/W2739273756","https://openalex.org/W2387510934","https://openalex.org/W4281937456","https://openalex.org/W4312567938","https://openalex.org/W4283806690","https://openalex.org/W2545065926","https://openalex.org/W2356242818","https://openalex.org/W2348584852","https://openalex.org/W2545393398","https://openalex.org/W3169126738"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"efficient":[4],"no-reference":[5],"blur":[6,90],"metric":[7],"for":[8,62,68],"images":[9,44],"where":[10],"image":[11,65,83],"quality":[12,101],"is":[13,24],"quantified":[14],"by":[15],"the":[16,27,39,43,49,52,55,63,69,74,82,88,94],"two":[17,59],"pass":[18],"edge":[19],"analysis.":[20],"The":[21],"proposed":[22,50,95],"method":[23,51],"based":[25],"on":[26],"experimental":[28],"result":[29],"shown":[30],"in":[31,48],"section":[32],"?":[33],"which":[34],"demonstrates":[35],"that":[36,93],"not":[37],"all":[38],"edges":[40,56,75],"spread":[41,53],"when":[42],"become":[45],"blurred.":[46],"So":[47],"of":[54],"were":[57],"measured":[58],"times,":[60],"one":[61,67],"test":[64],"and":[66],"blurred":[70,84],"image,":[71],"to":[72],"find":[73],"whose":[76],"width":[77],"increment":[78],"correlates":[79,97],"well":[80,98],"with":[81,99],"intensity.":[85],"Experiments":[86],"using":[87],"LIVE":[89],"database":[91],"demonstrate":[92],"algorithm":[96],"subjective":[100],"evaluations.":[102]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
