{"id":"https://openalex.org/W4411152913","doi":"https://doi.org/10.3390/bdcc9060154","title":"Image Visual Quality: Sharpness Evaluation in the Logarithmic Image Processing Framework","display_name":"Image Visual Quality: Sharpness Evaluation in the Logarithmic Image Processing Framework","publication_year":2025,"publication_date":"2025-06-09","ids":{"openalex":"https://openalex.org/W4411152913","doi":"https://doi.org/10.3390/bdcc9060154"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc9060154","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9060154","pdf_url":"https://www.mdpi.com/2504-2289/9/6/154/pdf?version=1749474464","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/9/6/154/pdf?version=1749474464","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117935541","display_name":"Arnaud Pauwelyn","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124615","display_name":"Laboratoire Interdisciplinaire Carnot de Bourgogne","ror":"https://ror.org/02b6c1039","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I37553959","https://openalex.org/I4210124615","https://openalex.org/I4405253280"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Arnaud Pauwelyn","raw_affiliation_strings":["ICB (Laboratoire Interdisciplinaire Carnot de Bourgogne), CNRS, Universit\u00e9 Bourgogne Europe, 21078 Dijon, France","NT2I (Nouvelles Technologies Ing\u00e9nierie Innovation), 18, Rue Jean Servanton, 42000 Saint-Etienne, France"],"affiliations":[{"raw_affiliation_string":"ICB (Laboratoire Interdisciplinaire Carnot de Bourgogne), CNRS, Universit\u00e9 Bourgogne Europe, 21078 Dijon, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210124615"]},{"raw_affiliation_string":"NT2I (Nouvelles Technologies Ing\u00e9nierie Innovation), 18, Rue Jean Servanton, 42000 Saint-Etienne, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079029295","display_name":"Maxime Carr\u00e9","orcid":"https://orcid.org/0000-0002-8899-9001"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maxime Carr\u00e9","raw_affiliation_strings":["NT2I (Nouvelles Technologies Ing\u00e9nierie Innovation), 18, Rue Jean Servanton, 42000 Saint-Etienne, France"],"affiliations":[{"raw_affiliation_string":"NT2I (Nouvelles Technologies Ing\u00e9nierie Innovation), 18, Rue Jean Servanton, 42000 Saint-Etienne, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027243092","display_name":"Michel Jourlin","orcid":"https://orcid.org/0000-0002-2076-3465"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210085887","display_name":"Laboratoire Hubert Curien","ror":"https://ror.org/0028p8r67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I277688954","https://openalex.org/I4210085887","https://openalex.org/I4210091746","https://openalex.org/I4210095849","https://openalex.org/I4405259976","https://openalex.org/I59692284"]},{"id":"https://openalex.org/I86767153","display_name":"Universit\u00e9 Jean Monnet","ror":"https://ror.org/04yznqr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I86767153"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Michel Jourlin","raw_affiliation_strings":["Laboratoire Hubert Curien, CNRS, Universit\u00e9 Jean Monnet, 18, Rue Professeur Beno\u00eet Lauras, 42000 Saint-Etienne, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire Hubert Curien, CNRS, Universit\u00e9 Jean Monnet, 18, Rue Professeur Beno\u00eet Lauras, 42000 Saint-Etienne, France","institution_ids":["https://openalex.org/I86767153","https://openalex.org/I1294671590","https://openalex.org/I4210085887"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024609220","display_name":"Dominique Ginhac","orcid":"https://orcid.org/0000-0002-5911-2010"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124615","display_name":"Laboratoire Interdisciplinaire Carnot de Bourgogne","ror":"https://ror.org/02b6c1039","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I37553959","https://openalex.org/I4210124615","https://openalex.org/I4405253280"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dominique Ginhac","raw_affiliation_strings":["ICB (Laboratoire Interdisciplinaire Carnot de Bourgogne), CNRS, Universit\u00e9 Bourgogne Europe, 21078 Dijon, France"],"affiliations":[{"raw_affiliation_string":"ICB (Laboratoire Interdisciplinaire Carnot de Bourgogne), CNRS, Universit\u00e9 Bourgogne Europe, 21078 Dijon, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210124615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106233726","display_name":"Fabrice M\u00e9riaudeau","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I177064439","display_name":"Universit\u00e9 de Bourgogne","ror":"https://ror.org/03k1bsr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I177064439"]},{"id":"https://openalex.org/I4210090001","display_name":"Institut d'Imagerie Biom\u00e9dicale","ror":"https://ror.org/009ay5m23","country_code":"FR","type":"government","lineage":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210090001","https://openalex.org/I4210096427","https://openalex.org/I4210102665","https://openalex.org/I4210113668"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fabrice Meriaudeau","raw_affiliation_strings":["IFTIM (Imagerie Fonctionnelle et mol\u00e9culaire et Traitement des Images M\u00e9dicales), ICMUB (Institut de Chimie Mol\u00e9culaire), CNRS, Universit\u00e9 de Bourgogne, 9, Avenue Alain Savary, 21078 Dijon, France"],"affiliations":[{"raw_affiliation_string":"IFTIM (Imagerie Fonctionnelle et mol\u00e9culaire et Traitement des Images M\u00e9dicales), ICMUB (Institut de Chimie Mol\u00e9culaire), CNRS, Universit\u00e9 de Bourgogne, 9, Avenue Alain Savary, 21078 Dijon, France","institution_ids":["https://openalex.org/I4210090001","https://openalex.org/I1294671590","https://openalex.org/I177064439"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027243092"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210085887","https://openalex.org/I86767153"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":3.726,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93253972,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"9","issue":"6","first_page":"154","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9972000122070312,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9962000250816345,"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":0.6054514646530151},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.597348690032959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5933688282966614},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.571200966835022},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.568766713142395},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5323980450630188},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.52757728099823},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.4394097626209259},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4392847716808319},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2625744044780731},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08343076705932617}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6054514646530151},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.597348690032959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5933688282966614},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.571200966835022},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.568766713142395},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5323980450630188},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.52757728099823},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.4394097626209259},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4392847716808319},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2625744044780731},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08343076705932617},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/bdcc9060154","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9060154","pdf_url":"https://www.mdpi.com/2504-2289/9/6/154/pdf?version=1749474464","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-05573506v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05573506","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, 2025, 9 (6), pp.154. ⟨10.3390/bdcc9060154⟩","raw_type":"Journal articles"},{"id":"pmh:oai:doaj.org/article:07ae09ef1c9a4f6fb7daa368ef0aa022","is_oa":true,"landing_page_url":"https://doaj.org/article/07ae09ef1c9a4f6fb7daa368ef0aa022","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 9, Iss 6, p 154 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc9060154","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9060154","pdf_url":"https://www.mdpi.com/2504-2289/9/6/154/pdf?version=1749474464","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2815648670","display_name":null,"funder_award_id":"2021/1239","funder_id":"https://openalex.org/F4320321663","funder_display_name":"Association Nationale de la Recherche et de la Technologie"}],"funders":[{"id":"https://openalex.org/F4320321663","display_name":"Association Nationale de la Recherche et de la Technologie","ror":"https://ror.org/00ht2ab73"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411152913.pdf","grobid_xml":"https://content.openalex.org/works/W4411152913.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1964859077","https://openalex.org/W1965475047","https://openalex.org/W1965555277","https://openalex.org/W2055649245","https://openalex.org/W2104564430","https://openalex.org/W2149600487","https://openalex.org/W2155475916","https://openalex.org/W2325116918","https://openalex.org/W2466530464","https://openalex.org/W2770091639","https://openalex.org/W3016431374","https://openalex.org/W3203631022","https://openalex.org/W4229373936","https://openalex.org/W4283780955","https://openalex.org/W4292787448","https://openalex.org/W4321377677","https://openalex.org/W4389581076","https://openalex.org/W4392940494","https://openalex.org/W4396834857","https://openalex.org/W4399278640","https://openalex.org/W6862653256"],"related_works":["https://openalex.org/W2941415828","https://openalex.org/W2081985452","https://openalex.org/W1504972346","https://openalex.org/W4386504616","https://openalex.org/W1593730969","https://openalex.org/W2561491196","https://openalex.org/W2356087891","https://openalex.org/W2358437414","https://openalex.org/W3161795970","https://openalex.org/W2801208768"],"abstract_inverted_index":{"In":[0],"image":[1,13,42,77,163,220,262],"processing,":[2],"the":[3,20,38,58,65,86,95,112,129,145,148,168,188,197,203,216,230,240,247],"acquisition":[4],"step":[5],"plays":[6],"a":[7,106,120,257],"fundamental":[8],"role":[9],"because":[10],"it":[11,98,166],"determines":[12],"quality.":[14],"The":[15,30,73,150],"present":[16],"paper":[17],"focuses":[18],"on":[19,49,111],"issue":[21],"of":[22,27,32,40,45,75,88,114,122,131,147,190,205,218,256],"blur":[23,192],"and":[24,52,266],"suggests":[25],"ways":[26],"assessing":[28,162],"contrast.":[29,268],"logic":[31],"this":[33,250],"work":[34],"consists":[35],"in":[36,55,138],"evaluating":[37],"sharpness":[39,74,265],"an":[41,76,219],"by":[43,239],"means":[44],"objective":[46],"measures":[47],"based":[48,110],"mathematical,":[50],"physical,":[51],"optical":[53],"justifications":[54],"connection":[56],"with":[57,90,140,246],"human":[59],"visual":[60],"system.":[61],"This":[62],"is":[63,78,99,167,172],"why":[64],"Logarithmic":[66,115],"Image":[67],"Processing":[68],"(LIP)":[69],"framework":[70],"was":[71],"chosen.":[72],"usually":[79],"assessed":[80],"near":[81],"objects\u2019":[82],"boundaries,":[83],"which":[84,200,252],"encourages":[85],"use":[87,130],"gradients,":[89],"some":[91],"major":[92],"drawbacks.":[93],"Within":[94],"LIP":[96],"framework,":[97],"possible":[100],"to":[101,135,156,174,196,260],"overcome":[102],"such":[103],"problems":[104],"using":[105,221],"\u201ccontour":[107],"detector\u201d":[108],"tool":[109],"notion":[113],"Additive":[116],"Contrast":[117],"(LAC).":[118],"Considering":[119],"sequence":[121],"images":[123,134],"increasingly":[124],"blurred,":[125],"we":[126],"show":[127],"that":[128,171,235],"LAC":[132],"enables":[133],"be":[136,237,254],"re-classified":[137],"accordance":[139],"their":[141],"defocus":[142],"level,":[143],"demonstrating":[144],"relevance":[146],"method.":[149],"proposed":[151],"algorithm":[152],"has":[153],"been":[154],"shown":[155],"outperform":[157],"five":[158],"conventional":[159],"methods":[160],"for":[161,249],"sharpness.":[164],"Moreover,":[165],"only":[169],"method":[170],"insensitive":[173],"brightness":[175],"variations.":[176],"Finally,":[177],"various":[178],"application":[179],"examples":[180],"are":[181],"presented,":[182],"like":[183],"automatic":[184],"autofocus":[185],"control":[186],"or":[187],"comparison":[189],"two":[191],"removal":[193],"algorithms":[194,211],"applied":[195],"same":[198],"image,":[199],"particularly":[201],"concerns":[202],"field":[204],"Super":[206],"Resolution":[207],"(SR)":[208],"algorithms.":[209],"Such":[210],"multiply":[212],"(\u00d72,":[213],"\u00d73,":[214],"\u00d74)":[215],"resolution":[217,241],"powerful":[222],"tools":[223],"(deep":[224],"learning,":[225],"neural":[226],"networks)":[227],"while":[228],"correcting":[229],"potential":[231],"defects":[232],"(blur,":[233],"noise)":[234],"could":[236],"generated":[238],"extension":[242],"itself.":[243],"We":[244],"conclude":[245],"prospects":[248],"work,":[251],"should":[253],"part":[255],"broader":[258],"approach":[259],"estimating":[261],"quality,":[263],"including":[264],"perceived":[267]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}