{"id":"https://openalex.org/W4380481057","doi":"https://doi.org/10.3233/jifs-221179","title":"An efficient image defogging algorithm based on dragonfly optimized gamma correction and stationary wavelet decomposition","display_name":"An efficient image defogging algorithm based on dragonfly optimized gamma correction and stationary wavelet decomposition","publication_year":2023,"publication_date":"2023-06-13","ids":{"openalex":"https://openalex.org/W4380481057","doi":"https://doi.org/10.3233/jifs-221179"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-221179","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-221179","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5098620905","display_name":"S. A. Ramsanjay","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S. A. Ramsanjay","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Mahendra Engineering College, Namakkal, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Mahendra Engineering College, Namakkal, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018316581","display_name":"S. Sumathi","orcid":"https://orcid.org/0000-0001-8391-6396"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Sumathi","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Mahendra Engineering College, Namakkal, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Mahendra Engineering College, Namakkal, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5098620905"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4919,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64119932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"45","issue":"3","first_page":"3651","last_page":"3664"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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":0.9926000237464905,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.991100013256073,"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/computer-science","display_name":"Computer science","score":0.7584466934204102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6809146404266357},{"id":"https://openalex.org/keywords/gamma-correction","display_name":"Gamma correction","score":0.6726117134094238},{"id":"https://openalex.org/keywords/naturalness","display_name":"Naturalness","score":0.6667957901954651},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.6196805238723755},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6081441640853882},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5862818360328674},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5183321237564087},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46532508730888367},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4492456316947937},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4397597908973694},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.42909711599349976},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3924596309661865},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11130461096763611}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7584466934204102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6809146404266357},{"id":"https://openalex.org/C17916492","wikidata":"https://www.wikidata.org/wiki/Q1144257","display_name":"Gamma correction","level":3,"score":0.6726117134094238},{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.6667957901954651},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.6196805238723755},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6081441640853882},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5862818360328674},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5183321237564087},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46532508730888367},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4492456316947937},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4397597908973694},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.42909711599349976},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3924596309661865},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11130461096763611},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":1,"locations":[{"id":"doi:10.3233/jifs-221179","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-221179","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1552930491","https://openalex.org/W2601793703","https://openalex.org/W2614951941","https://openalex.org/W2775771465","https://openalex.org/W2791961641","https://openalex.org/W2800283361","https://openalex.org/W2806490974","https://openalex.org/W2897177665","https://openalex.org/W2905564816","https://openalex.org/W2909501452","https://openalex.org/W2921932380","https://openalex.org/W2948605381","https://openalex.org/W2960187325","https://openalex.org/W2963251608","https://openalex.org/W2967918697","https://openalex.org/W2968836264","https://openalex.org/W2969368242","https://openalex.org/W2988734173","https://openalex.org/W2990802390","https://openalex.org/W2999930181","https://openalex.org/W3085859292","https://openalex.org/W3129950293","https://openalex.org/W3130656929","https://openalex.org/W3130976586","https://openalex.org/W3137760930","https://openalex.org/W3142436373","https://openalex.org/W3175560592","https://openalex.org/W3186012349","https://openalex.org/W3189195286","https://openalex.org/W3189539103","https://openalex.org/W6633080525","https://openalex.org/W6797883828","https://openalex.org/W6799799944"],"related_works":["https://openalex.org/W2029561777","https://openalex.org/W1554502231","https://openalex.org/W172797710","https://openalex.org/W2945105049","https://openalex.org/W2626699140","https://openalex.org/W4387098302","https://openalex.org/W3165080709","https://openalex.org/W2948317131","https://openalex.org/W4288365855","https://openalex.org/W2111961547"],"abstract_inverted_index":{"Image":[0],"dehazing":[1,140],"is":[2,71,82,164],"a":[3,17,29,60],"revolutionary":[4],"technique":[5],"for":[6,73],"restoring":[7],"images":[8,118],"with":[9,121],"hazy":[10],"or":[11],"foggy":[12,80],"landscapes,":[13],"that":[14,105,152,173],"has":[15,41,97],"gotten":[16],"lot":[18],"of":[19,47,53,100,182,204],"focus":[20],"in":[21,28,43,57,139,180],"recent":[22],"years":[23],"since":[24],"it":[25],"gained":[26],"importance":[27],"surveillance":[30],"system.":[31],"However,":[32],"the":[33,37,45,51,54,76,98,112,144,174,190,194,202],"image":[34,48,81,163],"processing":[35],"by":[36],"traditional":[38],"defogging":[39,122],"algorithm":[40,138],"difficulties":[42],"integrating":[44],"depth":[46],"detail":[49,146],"and":[50,67,87,115,123,129,156,185],"color":[52,145],"image.":[55,78],"Therefore,":[56],"this":[58],"paper,":[59],"novel":[61],"framework":[62,176],"based":[63],"on":[64],"wavelet":[65],"decomposition":[66],"optimized":[68],"gamma":[69],"correction":[70],"proposed":[72,175,195],"efficaciously":[74],"retrieving":[75],"fog-free":[77,162],"The":[79,132,169],"first":[83],"divided":[84],"into":[85],"low":[86,113],"high":[88,116],"frequency":[89,114,117],"sub-images":[90],"using":[91,189],"SWT":[92],"(Stationary":[93],"Wavelet":[94],"Transform),":[95],"which":[96],"advantages":[99],"preserving":[101,201],"temporal":[102],"features":[103],"so":[104,151],"information":[106,147],"loss":[107],"can":[108],"be":[109],"stopped.":[110],"Then":[111],"are":[119,158],"processed":[120],"denoising":[124],"modules":[125],"to":[126],"remove":[127],"fog":[128,199,205],"noise":[130],"respectively.":[131],"DOGC":[133],"(Dragonfly":[134],"optimal":[135],"Gamma":[136],"Correction)":[137],"module":[141],"dynamically":[142],"enhanced":[143],"without":[148],"human":[149],"intervention":[150],"observed":[153],"scene":[154],"contrast":[155],"visibility":[157],"well":[159],"preserved.":[160],"Lastly,":[161],"reconstructed":[165],"from":[166],"sub-enhanced":[167],"images.":[168,206],"experimental":[170],"findings":[171],"show":[172],"outperforms":[177],"state-of-the-art":[178],"methods":[179],"terms":[181],"both":[183],"quantitative":[184],"qualitative":[186],"assessment":[187],"criteria":[188],"established":[191],"dataset.":[192],"Furthermore,":[193],"method":[196],"efficiently":[197],"removes":[198],"while":[200],"naturalness":[203]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
