{"id":"https://openalex.org/W2566223674","doi":"https://doi.org/10.1109/dicta.2016.7797092","title":"USM Sharpening Detection Based on Sparse Coding","display_name":"USM Sharpening Detection Based on Sparse Coding","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2566223674","doi":"https://doi.org/10.1109/dicta.2016.7797092","mag":"2566223674"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2016.7797092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2016.7797092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5062979441","display_name":"Yuzhou Gu","orcid":"https://orcid.org/0000-0002-9187-9190"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhou Gu","raw_affiliation_strings":["Department of Electronic, Shanghai Jiao Tong University Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic, Shanghai Jiao Tong University Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101717685","display_name":"Shilin Wang","orcid":"https://orcid.org/0000-0002-8214-6809"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilin Wang","raw_affiliation_strings":["Department of Electronic, Shanghai Jiao Tong University Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic, Shanghai Jiao Tong University Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101792673","display_name":"Xiang Lin","orcid":"https://orcid.org/0000-0003-2789-4449"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Lin","raw_affiliation_strings":["Department of Electronic, Shanghai Jiao Tong University Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic, Shanghai Jiao Tong University Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041202216","display_name":"Tangfeng Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tangfeng Sun","raw_affiliation_strings":["Department of Electronic, Shanghai Jiao Tong University Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic, Shanghai Jiao Tong University Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"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":0.9943000078201294,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.973234236240387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6491063237190247},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6312289834022522},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6279621124267578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6156191825866699},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6098223924636841},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4828339219093323},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4532037079334259},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4452447295188904},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43053263425827026}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.973234236240387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6491063237190247},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6312289834022522},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6279621124267578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6156191825866699},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6098223924636841},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4828339219093323},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4532037079334259},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4452447295188904},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43053263425827026},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2016.7797092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2016.7797092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5099999904632568,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1972533335","https://openalex.org/W1985705604","https://openalex.org/W1997127867","https://openalex.org/W2008231398","https://openalex.org/W2027922120","https://openalex.org/W2050902195","https://openalex.org/W2050982421","https://openalex.org/W2077094335","https://openalex.org/W2079813777","https://openalex.org/W2087579212","https://openalex.org/W2118585731","https://openalex.org/W2129334318","https://openalex.org/W2136313643","https://openalex.org/W2145370991","https://openalex.org/W2160547390","https://openalex.org/W2162931300","https://openalex.org/W2166538457","https://openalex.org/W2209713853","https://openalex.org/W6670520305","https://openalex.org/W6677656871","https://openalex.org/W6681770142","https://openalex.org/W6683965311","https://openalex.org/W6688045848"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W4205656132","https://openalex.org/W3004790527","https://openalex.org/W2111634407","https://openalex.org/W2783282829","https://openalex.org/W2579633471","https://openalex.org/W2539392819","https://openalex.org/W2203155458","https://openalex.org/W212310357"],"abstract_inverted_index":{"USM":[0,14,28],"sharpening":[1,9,15,29],"is":[2,52,60,82,98],"one":[3],"of":[4,13,112],"the":[5,68,75,85,92,96,109,113],"most":[6],"widely":[7],"used":[8],"methods.":[10],"The":[11,57],"detection":[12],"has":[16,25],"attracted":[17],"much":[18],"concern":[19],"in":[20,54],"image":[21,35,72,97],"forensics.":[22],"Previous":[23],"research":[24],"demonstrated":[26,108],"that":[27],"will":[30],"cause":[31],"overshoot":[32],"artifacts":[33,42],"along":[34,71],"edges.":[36,73],"In":[37],"order":[38],"to":[39,62],"detect":[40],"such":[41],"accurately":[43],"and":[44,91],"comprehensively,":[45],"a":[46],"sparse-coding":[47],"based":[48],"local":[49,69,80,103],"feature":[50,94],"representation":[51],"proposed":[53,114],"this":[55],"paper.":[56],"K-SVD":[58],"algorithm":[59,90],"adopted":[61],"build":[63],"an":[64],"over-complete":[65],"dictionary":[66],"characterizing":[67],"textures":[70],"Then":[74],"sparse":[76],"code":[77],"for":[78,95],"each":[79],"patch":[81],"calculated":[83],"by":[84,100],"Orthogonal":[86],"Matching":[87],"Pursuit":[88],"(OMP)":[89],"overall":[93],"constructed":[99],"max-pooling":[101],"over":[102],"features.":[104],"Experimental":[105],"results":[106],"have":[107],"superior":[110],"performance":[111],"approach":[115],"compared":[116],"with":[117],"some":[118],"state-of-the-art":[119],"methods":[120],"investigated.":[121]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}