{"id":"https://openalex.org/W4402917204","doi":"https://doi.org/10.1109/icip51287.2024.10647983","title":"A Fusion-Based Approach for Blind Contrast-Enhanced Image Ranking","display_name":"A Fusion-Based Approach for Blind Contrast-Enhanced Image Ranking","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402917204","doi":"https://doi.org/10.1109/icip51287.2024.10647983"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10647983","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","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/A5060815677","display_name":"Wael Suliman","orcid":"https://orcid.org/0000-0002-3344-413X"},"institutions":[{"id":"https://openalex.org/I138564716","display_name":"Prince Mohammad bin Fahd University","ror":"https://ror.org/03d64na34","country_code":"SA","type":"education","lineage":["https://openalex.org/I138564716"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Wael Suliman","raw_affiliation_strings":["Prince Mohammad Bin Fahd University,Center for Artificial Intelligence,Khobar,Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Prince Mohammad Bin Fahd University,Center for Artificial Intelligence,Khobar,Saudi Arabia","institution_ids":["https://openalex.org/I138564716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032355192","display_name":"Mohamed Deriche","orcid":"https://orcid.org/0000-0002-5287-1874"},"institutions":[{"id":"https://openalex.org/I182000528","display_name":"Ajman University","ror":"https://ror.org/01j1rma10","country_code":"AE","type":"education","lineage":["https://openalex.org/I182000528"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Mohamed Deriche","raw_affiliation_strings":["Ajman University,College of Eng. and IT,Ajman,UAE"],"affiliations":[{"raw_affiliation_string":"Ajman University,College of Eng. and IT,Ajman,UAE","institution_ids":["https://openalex.org/I182000528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059512412","display_name":"Naoufel Werghi","orcid":"https://orcid.org/0000-0002-5542-448X"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Naoufel Werghi","raw_affiliation_strings":["Khalifa University,Dept. of EE and CS,Abu Dhabi,UAE"],"affiliations":[{"raw_affiliation_string":"Khalifa University,Dept. of EE and CS,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010658612","display_name":"Azeddine Beghdadi","orcid":"https://orcid.org/0000-0002-5595-0615"},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Azeddine Beghdadi","raw_affiliation_strings":["Universit&#x00E9; Sorbonne Paris Nord,Lab. Traitement de l&#x2019;Info.,Paris,France"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Sorbonne Paris Nord,Lab. Traitement de l&#x2019;Info.,Paris,France","institution_ids":["https://openalex.org/I4210091279"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060815677"],"corresponding_institution_ids":["https://openalex.org/I138564716"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26678944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1165","last_page":"1171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9911999702453613,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9911999702453613,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.929099977016449,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9194999933242798,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6729100346565247},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6396564841270447},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6150977611541748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6013345718383789},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5741068124771118},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5589804649353027},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4611966609954834},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46114665269851685},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4462776482105255}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6729100346565247},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6396564841270447},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6150977611541748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6013345718383789},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5741068124771118},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5589804649353027},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4611966609954834},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46114665269851685},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4462776482105255},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10647983","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330328","display_name":"Ajman University","ror":"https://ror.org/01j1rma10"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W329078214","https://openalex.org/W1982471090","https://openalex.org/W2020986297","https://openalex.org/W2086289106","https://openalex.org/W2135957164","https://openalex.org/W2161907179","https://openalex.org/W2163370434","https://openalex.org/W2296265007","https://openalex.org/W2414640440","https://openalex.org/W2467473805","https://openalex.org/W2515536209","https://openalex.org/W2578125686","https://openalex.org/W2594112328","https://openalex.org/W2748431992","https://openalex.org/W2765991652","https://openalex.org/W2770926026","https://openalex.org/W2793348241","https://openalex.org/W2797079651","https://openalex.org/W2806513639","https://openalex.org/W2904271401","https://openalex.org/W2905348252","https://openalex.org/W2922433978","https://openalex.org/W2944488554","https://openalex.org/W2948285125","https://openalex.org/W2955550201","https://openalex.org/W2955807843","https://openalex.org/W2958391815","https://openalex.org/W2971622202","https://openalex.org/W2973306787","https://openalex.org/W2998657829","https://openalex.org/W3098688893","https://openalex.org/W3214007456","https://openalex.org/W4210641410","https://openalex.org/W4386989195","https://openalex.org/W6763282009"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Cameras":[0],"are":[1,75,160],"now":[2],"available":[3,77],"at":[4],"extremely":[5],"low":[6],"prices":[7],"due":[8],"to":[9,35,51,114,154,168],"ongoing":[10],"advancements":[11],"in":[12,82,186],"image":[13],"acquisition":[14,34],"hardware.":[15],"However,":[16],"the":[17,30,40,53,92,109,130,148,170],"quality":[18,54],"of":[19,55,96,111,125,132,150,177],"images":[20],"can":[21,61],"be":[22],"compromised":[23],"by":[24,192],"various":[25],"distortions":[26,60],"that":[27,107,127],"occur":[28],"throughout":[29],"entire":[31],"process,":[32],"from":[33,64],"processing":[36],"and":[37,70,94,144],"delivery.":[38],"Over":[39],"past":[41],"few":[42],"decades,":[43],"researchers":[44],"have":[45],"primarily":[46],"focused":[47],"on":[48],"developing":[49],"algorithms":[50],"assess":[52],"distorted":[56],"images.":[57,117,180],"Unfortunately,":[58],"certain":[59],"also":[62],"result":[63],"enhancement":[65],"processes,":[66],"such":[67,141],"as":[68,142],"over-enhancement":[69],"color":[71],"saturation.":[72],"Although":[73],"there":[74,84],"metrics":[76],"for":[78,90,173],"measuring":[79],"contrast":[80,97,112,133,178],"levels":[81,113],"images,":[83],"is":[85],"currently":[86],"no":[87],"standard":[88],"metric":[89],"evaluating":[91],"extent":[93],"effects":[95,131],"enhancement.":[98,134],"In":[99],"this":[100],"paper,":[101],"we":[102,136],"propose":[103],"a":[104,122,164,174],"new":[105,123],"framework":[106],"expands":[108],"evaluation":[110],"ranking":[115,188],"contrast-enhanced":[116],"Our":[118],"technique":[119],"involves":[120],"extracting":[121],"set":[124],"features":[126],"accurately":[128],"describe":[129,147],"Furthermore,":[135],"integrate":[137],"additional":[138],"statistical":[139],"indicators,":[140],"skewness":[143],"kurtosis,":[145],"which":[146,189],"degree":[149],"visual":[151],"satisfaction":[152],"linked":[153],"human":[155],"perception.":[156],"These":[157],"identified":[158],"characteristics":[159],"subsequently":[161],"use":[162],"with":[163],"simple":[165],"classification":[166],"module":[167],"determine":[169],"rank":[171],"order":[172],"given":[175],"collection":[176],"enhanced":[179],"The":[181],"results":[182],"show":[183],"excellent":[184],"accuracy":[185],"correct":[187],"outperforms":[190],"state-of-the-art":[191],"more":[193],"than":[194],"$15":[195],"\\%$.":[196]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
