{"id":"https://openalex.org/W3137298551","doi":"https://doi.org/10.1109/tii.2021.3065439","title":"Perceptual Quality Evaluation of Hazy Natural Images","display_name":"Perceptual Quality Evaluation of Hazy Natural Images","publication_year":2021,"publication_date":"2021-03-11","ids":{"openalex":"https://openalex.org/W3137298551","doi":"https://doi.org/10.1109/tii.2021.3065439","mag":"3137298551"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2021.3065439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3065439","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5008934365","display_name":"Palak Mahajan","orcid":"https://orcid.org/0000-0001-9677-0613"},"institutions":[{"id":"https://openalex.org/I145846420","display_name":"University of Jammu","ror":"https://ror.org/02retg991","country_code":"IN","type":"education","lineage":["https://openalex.org/I145846420"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Palak Mahajan","raw_affiliation_strings":["Department of Computer Science and IT, University of Jammu, Jammu, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and IT, University of Jammu, Jammu, India","institution_ids":["https://openalex.org/I145846420"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019388627","display_name":"Vinit Jakhetiya","orcid":"https://orcid.org/0000-0002-8325-4908"},"institutions":[{"id":"https://openalex.org/I4210127441","display_name":"Indian Institute of Technology Jammu","ror":"https://ror.org/02f0vsw63","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210127441"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinit Jakhetiya","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology, Jammu, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology, Jammu, India","institution_ids":["https://openalex.org/I4210127441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042165609","display_name":"Pawanesh Abrol","orcid":"https://orcid.org/0000-0003-1502-1149"},"institutions":[{"id":"https://openalex.org/I145846420","display_name":"University of Jammu","ror":"https://ror.org/02retg991","country_code":"IN","type":"education","lineage":["https://openalex.org/I145846420"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pawanesh Abrol","raw_affiliation_strings":["Department of Computer Science and IT, University of Jammu, Jammu, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and IT, University of Jammu, Jammu, India","institution_ids":["https://openalex.org/I145846420"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091264098","display_name":"Parveen Lehana","orcid":"https://orcid.org/0000-0003-4633-4965"},"institutions":[{"id":"https://openalex.org/I145846420","display_name":"University of Jammu","ror":"https://ror.org/02retg991","country_code":"IN","type":"education","lineage":["https://openalex.org/I145846420"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Parveen K. Lehana","raw_affiliation_strings":["Department of Electronics, University of Jammu, Jammu, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics, University of Jammu, Jammu, India","institution_ids":["https://openalex.org/I145846420"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026675739","display_name":"Badri Narayan Subudhi","orcid":"https://orcid.org/0000-0002-4378-0065"},"institutions":[{"id":"https://openalex.org/I4210127441","display_name":"Indian Institute of Technology Jammu","ror":"https://ror.org/02f0vsw63","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210127441"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Badri N. Subudhi","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Jammu, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Jammu, India","institution_ids":["https://openalex.org/I4210127441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010646067","display_name":"Sharath Chandra Guntuku","orcid":"https://orcid.org/0000-0002-2929-0035"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharath C. Guntuku","raw_affiliation_strings":["Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5008934365"],"corresponding_institution_ids":["https://openalex.org/I145846420"],"apc_list":null,"apc_paid":null,"fwci":2.0346,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.88536973,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"17","issue":"12","first_page":"8046","last_page":"8056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9943000078201294,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9943000078201294,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9926999807357788,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9879999756813049,"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/scene-statistics","display_name":"Scene statistics","score":0.6764514446258545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6680957078933716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.661001980304718},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6346647143363953},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5550059080123901},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.492241770029068},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43211933970451355},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42067211866378784},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4117838442325592},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.37618571519851685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32903730869293213},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2930629551410675},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08547484874725342}],"concepts":[{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.6764514446258545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6680957078933716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661001980304718},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6346647143363953},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5550059080123901},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.492241770029068},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43211933970451355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42067211866378784},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4117838442325592},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.37618571519851685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32903730869293213},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2930629551410675},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08547484874725342},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2021.3065439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3065439","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1552073401","https://openalex.org/W1973207880","https://openalex.org/W1982471090","https://openalex.org/W2063360098","https://openalex.org/W2068403421","https://openalex.org/W2073623229","https://openalex.org/W2083610878","https://openalex.org/W2095543923","https://openalex.org/W2102166818","https://openalex.org/W2121880036","https://openalex.org/W2128254161","https://openalex.org/W2133665775","https://openalex.org/W2158546915","https://openalex.org/W2163370434","https://openalex.org/W2172058006","https://openalex.org/W2256362396","https://openalex.org/W2508509730","https://openalex.org/W2539216813","https://openalex.org/W2563786098","https://openalex.org/W2582488595","https://openalex.org/W2594112328","https://openalex.org/W2754213847","https://openalex.org/W2792829624","https://openalex.org/W2807793257","https://openalex.org/W2886402709","https://openalex.org/W2894938704","https://openalex.org/W2905544033","https://openalex.org/W2905870830","https://openalex.org/W2918431349","https://openalex.org/W2922433978","https://openalex.org/W2962782447","https://openalex.org/W2963446712","https://openalex.org/W2963629021","https://openalex.org/W2963928582","https://openalex.org/W2964121744","https://openalex.org/W2970360808","https://openalex.org/W2991006905","https://openalex.org/W2999143286","https://openalex.org/W3036239693","https://openalex.org/W3103635814","https://openalex.org/W6631190155","https://openalex.org/W6667535573","https://openalex.org/W6748171559"],"related_works":["https://openalex.org/W4287776258","https://openalex.org/W3027997911","https://openalex.org/W2767651786","https://openalex.org/W3021430260","https://openalex.org/W2912288872","https://openalex.org/W564581980","https://openalex.org/W3090091644","https://openalex.org/W3217021205","https://openalex.org/W2611645609","https://openalex.org/W2004336531"],"abstract_inverted_index":{"Haze":[0],"is":[1],"an":[2,107,134],"intrusion":[3],"element":[4],"that":[5,163],"disrupts":[6],"color":[7],"fidelity":[8],"and":[9,97,191],"contrast":[10],"of":[11,22,33,52,66,81,88,109,153,173],"outdoor":[12],"natural":[13,28,85,116,130,155],"images,":[14],"affecting":[15],"their":[16,101],"perceptual":[17,50,141,151],"quality.":[18],"The":[19,145],"differential":[20],"characteristics":[21],"hazy":[23,84,115,129,154],"images":[24,29,55,86,131,156],"compared":[25],"to":[26,64],"other":[27],"restrict":[30],"the":[31,41,49,61,75,150,164],"generalization":[32],"existing":[34,110,167],"image":[35],"quality":[36,51,103,125,142,152],"assessment":[37,126],"(IQA)":[38],"algorithms.":[39],"At":[40],"same":[42],"time,":[43],"efficient":[44],"IQA":[45,112,135],"algorithms":[46,113],"for":[47,128],"predicting":[48],"naturally":[53],"hazed":[54],"have":[56],"not":[57],"been":[58],"proposed":[59,146],"in":[60,171],"literature":[62],"due":[63],"lack":[65],"a":[67,123,158],"relevant":[68],"dataset.":[69],"To":[70],"address":[71],"this,":[72],"we":[73,121],"build":[74],"IIT-JMU":[76],"Hazy":[77],"Image":[78],"Dataset":[79],"comprising":[80],"1000":[82],"high-definition":[83],"consisting":[87],"diverse":[89],"categories":[90],"such":[91,177],"as":[92,178],"landscape,":[93],"forests,":[94],"roads,":[95],"seascapes,":[96],"cityscapes,":[98],"along":[99,132],"with":[100,133],"subjective":[102],"ratings.":[104],"We":[105],"present":[106],"analysis":[108],"natural-scene-statistics-based":[111],"on":[114],"images.":[117],"In":[118],"this":[119],"article,":[120],"propose":[122],"convolutional-neural-network-based":[124],"algorithm":[127],"metric":[136],"called":[137],"deep":[138],"learning-based":[139],"haze":[140],"evaluator":[143],"(DLHPQE).":[144],"DLHPQE":[147,165],"efficiently":[148],"predicts":[149],"without":[157],"reference.":[159],"Our":[160],"results":[161],"demonstrate":[162],"outperforms":[166],"state-of-the-art":[168],"no-reference":[169],"IQAs":[170],"terms":[172],"several":[174],"performance":[175],"parameters":[176],"Pearson":[179],"linear":[180],"correlation":[181,185,189],"coefficient,":[182,186,190],"Spearman":[183],"rank-order":[184,188],"Kendall's":[187],"root-mean-square":[192],"error.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
