{"id":"https://openalex.org/W3203867250","doi":"https://doi.org/10.1145/3478905.3478967","title":"A Simple Algorithm for Quickly Estimating the Sharpness of Mobile Phone Images","display_name":"A Simple Algorithm for Quickly Estimating the Sharpness of Mobile Phone Images","publication_year":2021,"publication_date":"2021-07-23","ids":{"openalex":"https://openalex.org/W3203867250","doi":"https://doi.org/10.1145/3478905.3478967","mag":"3203867250"},"language":"en","primary_location":{"id":"doi:10.1145/3478905.3478967","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3478905.3478967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Data Science and Information Technology","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/A5100739749","display_name":"Yongkang Zhang","orcid":"https://orcid.org/0009-0008-8071-0446"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongkang Zhang","raw_affiliation_strings":["Beijing Institute of Graphic Communication, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Graphic Communication, China","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106405073","display_name":"Peng Cao","orcid":"https://orcid.org/0000-0002-9629-1273"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Cao","raw_affiliation_strings":["Beijing Institute of Graphic Communication, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Graphic Communication, China","institution_ids":["https://openalex.org/I4210135483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210135483"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"305","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13270","display_name":"QR Code Applications and Technologies","score":0.9520000219345093,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13270","display_name":"QR Code Applications and Technologies","score":0.9520000219345093,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9434000253677368,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T11666","display_name":"Color Science and Applications","score":0.9409000277519226,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/halftone","display_name":"Halftone","score":0.9874715805053711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7368903160095215},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6290527582168579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5598980784416199},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5472825765609741},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5446157455444336},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.4356482923030853},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4348128139972687},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4296850264072418},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41725385189056396},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10367169976234436}],"concepts":[{"id":"https://openalex.org/C2777635815","wikidata":"https://www.wikidata.org/wiki/Q1110021","display_name":"Halftone","level":3,"score":0.9874715805053711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7368903160095215},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6290527582168579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5598980784416199},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5472825765609741},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5446157455444336},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.4356482923030853},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4348128139972687},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4296850264072418},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41725385189056396},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10367169976234436},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3478905.3478967","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3478905.3478967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Data Science and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2139312536"],"related_works":["https://openalex.org/W4251316475","https://openalex.org/W387710534","https://openalex.org/W608034372","https://openalex.org/W2049375232","https://openalex.org/W4378219109","https://openalex.org/W2383705254","https://openalex.org/W1997064536","https://openalex.org/W1965436523","https://openalex.org/W4312518048","https://openalex.org/W2996769815"],"abstract_inverted_index":{"The":[0],"QR":[1,55,93,127],"code":[2,56,94,128],"image":[3,76,95],"based":[4],"on":[5],"halftone":[6,31,54,92,126],"micro-noise":[7],"information,":[8],"which":[9,67],"has":[10],"excellent":[11],"anti-duplication":[12],"performance":[13],"and":[14,23,85],"certain":[15],"application":[16],"value":[17],"in":[18,112],"the":[19,28,42,61,71,74,79,91,100,103,110,122],"field":[20],"of":[21,30,45,64,73,82,102,124],"anti-counterfeiting":[22],"traceability.":[24],"However,":[25],"due":[26],"to":[27,37,51,89],"mocro-size":[29],"noise":[32],"dots,":[33],"it's":[34],"often":[35],"difficult":[36],"obtain":[38,52],"high-sharpness":[39,53],"images":[40],"during":[41],"recognition":[43],"process":[44],"ordinary":[46],"mobile":[47],"phones.":[48],"In":[49],"order":[50],"images,":[57],"this":[58,113],"paper":[59,114],"proposes":[60,86],"improved":[62],"algorithm":[63,88],"least":[65],"squares,":[66],"can":[68,119],"quickly":[69],"evaluate":[70,90],"sharpness":[72,123],"scanned":[75],"by":[77,98,108],"calculating":[78,99],"gray":[80],"gradient":[81],"local":[83,104],"pixels,":[84],"PWM":[87],"after":[96],"segmentation":[97],"proportion":[101],"high-frequency":[105],"components.":[106],"Proved":[107],"experiments,":[109],"methods":[111],"with":[115],"less":[116],"time":[117],"complexity":[118],"effectively":[120],"improve":[121],"obtained":[125],"images.":[129]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
