{"id":"https://openalex.org/W2123349621","doi":"https://doi.org/10.1117/12.2005420","title":"A no-reference quality assessment algorithm for JPEG2000-compressed images based on local sharpness","display_name":"A no-reference quality assessment algorithm for JPEG2000-compressed images based on local sharpness","publication_year":2013,"publication_date":"2013-02-04","ids":{"openalex":"https://openalex.org/W2123349621","doi":"https://doi.org/10.1117/12.2005420","mag":"2123349621"},"language":"en","primary_location":{"id":"doi:10.1117/12.2005420","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2005420","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5086125618","display_name":"Phong V. Vu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131712","display_name":"Oklahoma State University Oklahoma City","ror":"https://ror.org/03y1zyv86","country_code":"US","type":"education","lineage":["https://openalex.org/I4210131712"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Phong V. Vu","raw_affiliation_strings":["Oklahoma State Univ.  (United States)","Oklahoma State University (United States)"],"affiliations":[{"raw_affiliation_string":"Oklahoma State Univ.  (United States)","institution_ids":["https://openalex.org/I4210131712"]},{"raw_affiliation_string":"Oklahoma State University (United States)","institution_ids":["https://openalex.org/I4210131712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091097268","display_name":"Damon M. Chandler","orcid":"https://orcid.org/0000-0003-0326-0679"},"institutions":[{"id":"https://openalex.org/I4210131712","display_name":"Oklahoma State University Oklahoma City","ror":"https://ror.org/03y1zyv86","country_code":"US","type":"education","lineage":["https://openalex.org/I4210131712"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Damon M. Chandler","raw_affiliation_strings":["Oklahoma State Univ. (United States)","Oklahoma State University (United States)"],"affiliations":[{"raw_affiliation_string":"Oklahoma State Univ. (United States)","institution_ids":["https://openalex.org/I4210131712"]},{"raw_affiliation_string":"Oklahoma State University (United States)","institution_ids":["https://openalex.org/I4210131712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086125618"],"corresponding_institution_ids":["https://openalex.org/I4210131712"],"apc_list":null,"apc_paid":null,"fwci":0.2764,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63404895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8653","issue":null,"first_page":"865302","last_page":"865302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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/T11165","display_name":"Image and Video Quality Assessment","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9975000023841858,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6362535357475281},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.6258361339569092},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6090753078460693},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5620748400688171},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5386367440223694},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4945983588695526},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46846669912338257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4639188051223755},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.4560135006904602},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4501870572566986},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39640289545059204},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.3717794418334961},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31441450119018555},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27422380447387695}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6362535357475281},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.6258361339569092},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6090753078460693},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5620748400688171},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5386367440223694},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4945983588695526},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46846669912338257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4639188051223755},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.4560135006904602},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4501870572566986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39640289545059204},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.3717794418334961},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31441450119018555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27422380447387695}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2005420","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2005420","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.667.4258","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.667.4258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vision.okstate.edu/pubs/vu_jp2k.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1982471090","https://openalex.org/W1984066865","https://openalex.org/W1984075533","https://openalex.org/W1985053498","https://openalex.org/W2004871019","https://openalex.org/W2030763532","https://openalex.org/W2063802228","https://openalex.org/W2069451332","https://openalex.org/W2071788534","https://openalex.org/W2091978562","https://openalex.org/W2107743796","https://openalex.org/W2117117414","https://openalex.org/W2129644086","https://openalex.org/W2143901157","https://openalex.org/W2171349048","https://openalex.org/W3182211633"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2545065926","https://openalex.org/W2980082320","https://openalex.org/W2036421992","https://openalex.org/W3093839383","https://openalex.org/W2387510934","https://openalex.org/W2015446345"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,86,168,173],"no-reference":[6,197],"quality":[7,27,39,111,148,156,174,199],"assessment":[8],"algorithm":[9,19],"for":[10],"JPEG2000-compressed":[11,183,202],"images":[12,31],"called":[13],"EDIQ":[14,53,192],"(EDge-based":[15],"Image":[16],"Quality).":[17],"The":[18,89,117],"works":[20],"based":[21],"on":[22,181,201],"the":[23,26,38,41,45,56,92,97,109,114,121,127,133,138,155,159,177,182],"assumption":[24],"that":[25,191],"of":[28,40,91,113,120,141,158,176,185],"JPEG2000-":[29],"compressed":[30],"can":[32],"be":[33],"evaluated":[34],"by":[35,65,102,132,167],"separately":[36],"computing":[37],"edge/near-edge":[42,60,128,160],"regions":[43,47,61,64,99],"and":[44,62,70,79,137],"non-edge":[46,63,98,115],"where":[48],"no":[49],"edges":[50],"are":[51,165],"present.":[52],"first":[54],"separates":[55],"input":[57,178],"image":[58,110,198],"into":[59,154],"applying":[66],"Canny":[67],"edge":[68],"detection":[69],"edge-pixel":[71],"dilation.":[72],"Our":[73],"previous":[74],"sharpness":[75,87,93,122],"algorithm,":[76],"FISH":[77],"[Vu":[78],"Chandler,":[80],"2012],":[81],"is":[82,100,130,151,193],"used":[83],"to":[84,96,107,126,144,171],"generate":[85],"map.":[88],"part":[90,119],"map":[94],"corresponding":[95],"collapsed":[101,153],"using":[103],"root":[104],"mean":[105,170],"square":[106],"yield":[108,145,172],"index":[112,157],"regions.":[116,161],"other":[118,196],"map,":[123,149],"which":[124,150],"corresponds":[125],"regions,":[129],"weighted":[131],"local":[134,139],"RMS":[135],"contrast":[136],"slope":[140],"magnitude":[142],"spectrum":[143],"an":[146],"enhanced":[147],"then":[152],"These":[162],"two":[163],"indices":[164],"combined":[166],"geometric":[169],"indicator":[175],"image.":[179],"Testing":[180],"subsets":[184],"four":[186],"different":[187],"image-quality":[188],"databases":[189],"demonstrate":[190],"competitive":[194],"with":[195],"algorithms":[200],"images.":[203]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
