{"id":"https://openalex.org/W4385789860","doi":"https://doi.org/10.3233/jifs-234002","title":"A novel deep learning based underwater image de-noising and detecting suspicious object","display_name":"A novel deep learning based underwater image de-noising and detecting suspicious object","publication_year":2023,"publication_date":"2023-08-13","ids":{"openalex":"https://openalex.org/W4385789860","doi":"https://doi.org/10.3233/jifs-234002"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-234002","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-234002","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 & 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/A5065180107","display_name":"S. Padmapriya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Padmapriya","raw_affiliation_strings":["Department of Artificial Intelligence and Data Science, Velammal Institute of Technology, Ponneri"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Data Science, Velammal Institute of Technology, Ponneri","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008933982","display_name":"A. Umamageswari","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"A. Umamageswari","raw_affiliation_strings":["Department of CSE, SRM Institute of Science and Technology, Ramapuram Campus, Chennai"],"affiliations":[{"raw_affiliation_string":"Department of CSE, SRM Institute of Science and Technology, Ramapuram Campus, Chennai","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019824447","display_name":"S. Deepa","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Deepa","raw_affiliation_strings":["Department of CSE, SRM Institute of Science and Technology, Ramapuram Campus, Chennai"],"affiliations":[{"raw_affiliation_string":"Department of CSE, SRM Institute of Science and Technology, Ramapuram Campus, Chennai","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102805339","display_name":"J. Faritha Banu","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"J. Faritha Banu","raw_affiliation_strings":["Department of CSE, SRM Institute of Science and Technology, Ramapuram Campus, Chennai"],"affiliations":[{"raw_affiliation_string":"Department of CSE, SRM Institute of Science and Technology, Ramapuram Campus, Chennai","institution_ids":["https://openalex.org/I145286018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008933982"],"corresponding_institution_ids":["https://openalex.org/I145286018"],"apc_list":null,"apc_paid":null,"fwci":0.2456,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51755537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"45","issue":"4","first_page":"7129","last_page":"7144"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9970999956130981,"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":0.9930999875068665,"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":0.8266624808311462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7928050756454468},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.7459684610366821},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6971818208694458},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.6858814358711243},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6249540448188782},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6224173903465271},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.543537437915802},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5418832898139954},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.4915693700313568},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.44964373111724854},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4416048228740692},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.44084230065345764},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42711877822875977},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.38576236367225647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3591373860836029},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2822715640068054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8266624808311462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7928050756454468},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7459684610366821},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6971818208694458},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.6858814358711243},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6249540448188782},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6224173903465271},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.543537437915802},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5418832898139954},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.4915693700313568},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.44964373111724854},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4416048228740692},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.44084230065345764},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42711877822875977},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.38576236367225647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3591373860836029},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2822715640068054},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-234002","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-234002","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 & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2056370875","https://openalex.org/W2508457857","https://openalex.org/W2743780012","https://openalex.org/W2767009334","https://openalex.org/W2782796222","https://openalex.org/W2806752126","https://openalex.org/W2905647171","https://openalex.org/W2970375873","https://openalex.org/W3028220388","https://openalex.org/W3032766569","https://openalex.org/W3036225740","https://openalex.org/W3044445224","https://openalex.org/W3099562471","https://openalex.org/W3101633049","https://openalex.org/W3106850582","https://openalex.org/W3127968388","https://openalex.org/W3134850424","https://openalex.org/W3163838026","https://openalex.org/W3183339502","https://openalex.org/W4221128194","https://openalex.org/W4288081604","https://openalex.org/W4294871818","https://openalex.org/W4309762919","https://openalex.org/W6779132248","https://openalex.org/W6779838929","https://openalex.org/W6785809283","https://openalex.org/W6791963444"],"related_works":["https://openalex.org/W2057981026","https://openalex.org/W2256021896","https://openalex.org/W2122866860","https://openalex.org/W2165297163","https://openalex.org/W2398368608","https://openalex.org/W1583737874","https://openalex.org/W2024449420","https://openalex.org/W1994424557","https://openalex.org/W3084145657","https://openalex.org/W4309786676"],"abstract_inverted_index":{"Exploration":[0],"of":[1,24,33,123,133,198,205],"underwater":[2,28,42,58,127,143,199],"resource":[3],"play":[4,14],"a":[5,15],"vital":[6],"role":[7,17],"for":[8,47,57],"nation":[9],"development.":[10],"Underwater":[11],"surveillance":[12],"systems":[13],"crucial":[16],"in":[18,27,41,126],"security":[19],"applications,":[20],"requiring":[21],"accurate":[22],"detection":[23,67,103,163,192],"suspicious":[25,65,124,150,206],"objects":[26,125],"images.":[29,128],"However,":[30],"the":[31,70,118,131,166,196,203],"presence":[32],"noise,":[34],"poor":[35],"visibility,":[36],"and":[37,63,82,91,112,121,149,161,175,189,201],"uneven":[38],"lighting":[39],"conditions":[40],"environments":[43],"pose":[44],"significant":[45],"challenges":[46],"reliable":[48],"object":[49,66,102,162],"detection.":[50],"This":[51],"work":[52,137,153],"proposes":[53],"an":[54,142],"integrated":[55,184],"approach":[56,185],"image":[59,84,96,144],"de-noising,":[60,159],"pre-processing,":[61,92],"enhancement,":[62,114],"subsequent":[64],"by":[68,194],"combining":[69],"DnCNN":[71],"(Deep":[72],"Convolutional":[73],"Neural":[74],"Network),":[75],"CLAHE":[76],"(Contrast":[77],"Limited":[78],"Adaptive":[79],"Histogram":[80],"Equalization),":[81],"additional":[83],"enhancement":[85,97],"techniques.":[86],"In":[87],"addition":[88],"to":[89,99,116],"de-noising":[90],"it":[93],"incorporate":[94],"various":[95],"techniques":[98,106],"further":[100],"improve":[101],"performance.":[104],"These":[105],"include":[107],"color":[108],"correction,":[109],"contrast":[110],"adjustment,":[111],"edge":[113],"aiming":[115],"enhance":[117],"visual":[119],"characteristics":[120],"saliency":[122],"To":[129],"evaluate":[130],"effectiveness":[132],"proposed":[134,155,183],"approach,":[135],"this":[136],"conducted":[138],"extensive":[139],"experiments":[140],"on":[141],"dataset":[145],"containing":[146],"diverse":[147],"scenes":[148],"objects.":[151,207],"The":[152,178],"compares":[154],"method":[156],"with":[157],"existing":[158],"preprocessing,":[160],"techniques,":[164],"analyzing":[165],"results":[167,180],"using":[168],"quantitative":[169],"performance":[170,193],"metrics,":[171],"including":[172],"precision,":[173],"recall,":[174],"F1":[176],"score.":[177],"experimental":[179],"demonstrate":[181],"that":[182],"outperforms":[186],"individual":[187],"methods":[188],"achieves":[190],"superior":[191],"enhancing":[195],"quality":[197],"images":[200],"improving":[202],"visibility":[204]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-12T23:11:45.498971","created_date":"2025-10-10T00:00:00"}