{"id":"https://openalex.org/W2587838795","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852816","title":"No-reference image sharpness Algorithm based on gradient shape","display_name":"No-reference image sharpness Algorithm based on gradient shape","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2587838795","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852816","mag":"2587838795"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2016.7852816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5054305881","display_name":"Jun Ni","orcid":"https://orcid.org/0000-0002-2408-7468"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Ni","raw_affiliation_strings":["China Jiliang University, Hangzhou, Zhejiang, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Jiliang University, Hangzhou, Zhejiang, CN","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102997988","display_name":"Gen Luo","orcid":"https://orcid.org/0000-0001-5334-1843"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gen Luo","raw_affiliation_strings":["College of Optical and Electronic Technology, China JiLiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Optical and Electronic Technology, China JiLiang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032230594","display_name":"Yu Tao","orcid":"https://orcid.org/0000-0001-9170-6655"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yu","raw_affiliation_strings":["China Jiliang University, Hangzhou, Zhejiang, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Jiliang University, Hangzhou, Zhejiang, CN","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041211160","display_name":"NingChuan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"NingChuan Li","raw_affiliation_strings":["College of Optical and Electronic Technology, China JiLiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Optical and Electronic Technology, China JiLiang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55538621"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"786","last_page":"790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T11165","display_name":"Image and Video Quality Assessment","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/T11019","display_name":"Image Enhancement Techniques","score":0.9983000159263611,"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":0.9980999827384949,"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-science","display_name":"Computer science","score":0.6078839302062988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5971964001655579},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5706727504730225},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5648780465126038},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5253521800041199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5196917653083801},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.48035821318626404},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4716600179672241},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4573397934436798},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3500789403915405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6078839302062988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5971964001655579},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5706727504730225},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5648780465126038},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5253521800041199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5196917653083801},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.48035821318626404},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4716600179672241},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4573397934436798},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3500789403915405},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2016.7852816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W289976167","https://openalex.org/W1580389772","https://openalex.org/W1964859077","https://openalex.org/W1980403059","https://openalex.org/W1982471090","https://openalex.org/W2009272644","https://openalex.org/W2073623229","https://openalex.org/W2133665775","https://openalex.org/W2138088051","https://openalex.org/W2153582625","https://openalex.org/W2159311532","https://openalex.org/W2162692770","https://openalex.org/W2404714502","https://openalex.org/W2460851640","https://openalex.org/W2509633434","https://openalex.org/W2548680794","https://openalex.org/W3182211633","https://openalex.org/W6682443230","https://openalex.org/W6798736878"],"related_works":["https://openalex.org/W2012531322","https://openalex.org/W2402761219","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2609066826","https://openalex.org/W2810752900","https://openalex.org/W1603736412","https://openalex.org/W3035059915","https://openalex.org/W3034835492"],"abstract_inverted_index":{"Image":[0,51],"sharpness":[1,35,68,103,116,136],"is":[2,41,47,118],"an":[3,26],"important":[4,27],"aspect":[5],"of":[6,15,20,56,105,110],"image":[7,21,59,135],"quality.":[8],"It":[9,23,74,127],"used":[10,48,130],"to":[11,131],"measure":[12],"the":[13,18,63,102,133],"degree":[14,104],"focus":[16],"at":[17],"time":[19],"acquisition.":[22],"also":[24],"play":[25],"role":[28],"for":[29,49],"video":[30],"compression.":[31],"Here,":[32],"one":[33],"new":[34],"algorithm":[36,53,91,99,117],"based":[37],"on":[38],"gradient":[39],"shape":[40],"introduced":[42],"in":[43,58,70,84],"this":[44,115],"paper.":[45],"which":[46,65],"no-reference":[50,134],".The":[52],"gets":[54,81],"region":[55,72],"Interest":[57],"firstly,":[60],"then":[61,80],"search":[62],"edge":[64,76,85],"can":[66,100,128],"present":[67],"information":[69],"selected":[71],".":[73],"calculates":[75],"transition":[77],"zone":[78],"width,":[79],"gray":[82],"contrast":[83],"region,":[86],"finally":[87],"a":[88],"probability":[89],"summation":[90],"model":[92],"be":[93,129],"set":[94],"by":[95],"these":[96],"factors.":[97],"This":[98],"calculate":[101],"different":[106],"images.":[107],"A":[108],"lot":[109],"experimental":[111],"results":[112],"show":[113],"that":[114],"effective":[119],"and":[120],"keep":[121],"consistency":[122],"with":[123],"human":[124],"subjective":[125],"judgment.":[126],"describe":[132],"effectively.":[137]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
