{"id":"https://openalex.org/W2970782702","doi":"https://doi.org/10.1109/icip.2019.8803072","title":"Saliency Computational Model for Foggy Images by Fusing Frequency and Spatial Cues","display_name":"Saliency Computational Model for Foggy Images by Fusing Frequency and Spatial Cues","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970782702","doi":"https://doi.org/10.1109/icip.2019.8803072","mag":"2970782702"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5100696102","display_name":"Xin Xu","orcid":"https://orcid.org/0000-0003-0748-3669"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Xu","raw_affiliation_strings":["Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109638401","display_name":"Xin Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhu","raw_affiliation_strings":["Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055218366","display_name":"Nan Mu","orcid":"https://orcid.org/0000-0003-0476-7500"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Mu","raw_affiliation_strings":["Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379326","display_name":"Li Chen","orcid":"https://orcid.org/0000-0003-2086-8686"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Chen","raw_affiliation_strings":["Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017963893","display_name":"Jing Tian","orcid":"https://orcid.org/0000-0002-4084-6911"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Tian","raw_affiliation_strings":["Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100696102"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43560418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"959","last_page":"963"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7768675088882446},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6781793832778931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6713546514511108},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6609393954277039},{"id":"https://openalex.org/keywords/spatial-frequency","display_name":"Spatial frequency","score":0.6338340044021606},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6097213625907898},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5331990122795105},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5274683833122253},{"id":"https://openalex.org/keywords/kadir\u2013brady-saliency-detector","display_name":"Kadir\u2013Brady saliency detector","score":0.5087922215461731},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.45740675926208496},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.45214468240737915},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4336085617542267},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4190168082714081},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4149588346481323},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.41383129358291626},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.24857836961746216},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.23588088154792786},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21988242864608765},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15023544430732727}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7768675088882446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6781793832778931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6713546514511108},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6609393954277039},{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.6338340044021606},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6097213625907898},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5331990122795105},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5274683833122253},{"id":"https://openalex.org/C202227193","wikidata":"https://www.wikidata.org/wiki/Q6345568","display_name":"Kadir\u2013Brady saliency detector","level":4,"score":0.5087922215461731},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.45740675926208496},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.45214468240737915},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4336085617542267},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4190168082714081},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4149588346481323},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.41383129358291626},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.24857836961746216},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.23588088154792786},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21988242864608765},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15023544430732727},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1897243830","https://openalex.org/W1918837316","https://openalex.org/W1971693194","https://openalex.org/W1992841843","https://openalex.org/W1996031228","https://openalex.org/W2002574940","https://openalex.org/W2028990532","https://openalex.org/W2037328649","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2041719651","https://openalex.org/W2047670868","https://openalex.org/W2100470808","https://openalex.org/W2109616376","https://openalex.org/W2113808907","https://openalex.org/W2114867966","https://openalex.org/W2118246710","https://openalex.org/W2121880036","https://openalex.org/W2122076510","https://openalex.org/W2123094559","https://openalex.org/W2128272608","https://openalex.org/W2146103513","https://openalex.org/W2152233525","https://openalex.org/W2167474469","https://openalex.org/W2201780148","https://openalex.org/W2296040439","https://openalex.org/W2346506533","https://openalex.org/W2397798092","https://openalex.org/W2588600710","https://openalex.org/W2591665690","https://openalex.org/W2767420414","https://openalex.org/W4239147634","https://openalex.org/W6639624585","https://openalex.org/W6651042577","https://openalex.org/W6660344663","https://openalex.org/W6734245440"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W2095903272","https://openalex.org/W2391745328","https://openalex.org/W4214649316","https://openalex.org/W2554790198"],"abstract_inverted_index":{"A":[0],"key":[1],"challenge":[2],"of":[3,70,119],"saliency":[4,46,81,95,138],"computation":[5],"in":[6,25,131],"foggy":[7,132],"images":[8,133],"is":[9,59,74,88,99],"how":[10],"to":[11,76,90,102,135],"effectively":[12],"detect":[13],"salient":[14],"objects":[15],"which":[16],"are":[17],"less":[18],"visible.":[19],"The":[20,56,97],"primary":[21],"cause":[22],"may":[23],"lie":[24],"the":[26,29,67,78,84,92,104,111,117,128],"fact":[27],"that":[28,110],"light":[30,120],"scattering":[31,121],"through":[32,122],"fog":[33,123],"particles":[34],"reduces":[35],"image":[36,58],"contrast.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"propose":[42],"a":[43],"frequency-spatial":[44,105],"fusion":[45],"computational":[47],"model":[48,113],"based":[49],"on":[50],"discrete":[51],"stationary":[52],"wavelet":[53],"transform":[54],"(DSWT).":[55],"input":[57],"firstly":[60],"transformed":[61],"into":[62],"HSV":[63],"color":[64,72],"space,":[65],"and":[66,125],"amplitude":[68],"spectrum":[69],"each":[71],"channel":[73],"adjusted":[75],"generate":[77],"frequency":[79],"domain":[80,94],"map.":[82,96],"Then,":[83],"local-global":[85],"superpixel":[86],"contrast":[87],"measured":[89],"obtain":[91],"spatial":[93],"DSWT":[98],"finally":[100],"utilized":[101],"fuse":[103],"cues.":[106],"Experimental":[107],"results":[108],"indicate":[109],"proposed":[112],"can":[114,126],"efficiently":[115],"reduce":[116],"influence":[118],"particles,":[124],"achieve":[127],"best":[129],"performance":[130],"comparing":[134],"16":[136],"state-of-the-art":[137],"models.":[139]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}