{"id":"https://openalex.org/W3134784800","doi":"https://doi.org/10.1142/s0219467821500455","title":"A Robust Method for Dehazing of Single Image with Sky Region Detection and Segmentation","display_name":"A Robust Method for Dehazing of Single Image with Sky Region Detection and Segmentation","publication_year":2021,"publication_date":"2021-03-08","ids":{"openalex":"https://openalex.org/W3134784800","doi":"https://doi.org/10.1142/s0219467821500455","mag":"3134784800"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467821500455","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467821500455","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","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/A5021944329","display_name":"Tannistha Pal","orcid":"https://orcid.org/0000-0002-1317-7599"},"institutions":[{"id":"https://openalex.org/I196486160","display_name":"National Institute of Technology Agartala","ror":"https://ror.org/03swyrn62","country_code":"IN","type":"education","lineage":["https://openalex.org/I196486160"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Tannistha Pal","raw_affiliation_strings":["Computer Science and Engineering Department, National Institute of Technology Agartala (NITA), Tripura 799046, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, National Institute of Technology Agartala (NITA), Tripura 799046, India","institution_ids":["https://openalex.org/I196486160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021944329"],"corresponding_institution_ids":["https://openalex.org/I196486160"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34658497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","issue":"04","first_page":null,"last_page":null},"is_retracted":false,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9972000122070312,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9968000054359436,"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/sky","display_name":"Sky","score":0.9064111709594727},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7442920207977295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7303903698921204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6899247169494629},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6744951605796814},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5810567736625671},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5731973648071289},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5094919800758362},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4728149175643921},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47093406319618225},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.4252035915851593},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4173756241798401},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.21032676100730896},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09514471888542175},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08041509985923767},{"id":"https://openalex.org/keywords/astrophysics","display_name":"Astrophysics","score":0.06893008947372437}],"concepts":[{"id":"https://openalex.org/C73329638","wikidata":"https://www.wikidata.org/wiki/Q527","display_name":"Sky","level":2,"score":0.9064111709594727},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7442920207977295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7303903698921204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6899247169494629},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6744951605796814},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5810567736625671},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5731973648071289},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5094919800758362},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4728149175643921},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47093406319618225},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.4252035915851593},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4173756241798401},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.21032676100730896},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09514471888542175},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08041509985923767},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.06893008947372437},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467821500455","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467821500455","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W180758837","https://openalex.org/W643963060","https://openalex.org/W1971693194","https://openalex.org/W1983326667","https://openalex.org/W1990282741","https://openalex.org/W1992954085","https://openalex.org/W2003709967","https://openalex.org/W2013593022","https://openalex.org/W2029926435","https://openalex.org/W2058843488","https://openalex.org/W2069428670","https://openalex.org/W2114867966","https://openalex.org/W2125188192","https://openalex.org/W2128254161","https://openalex.org/W2140653228","https://openalex.org/W2166704913","https://openalex.org/W2321829946","https://openalex.org/W2342507342","https://openalex.org/W2536722097","https://openalex.org/W2548803914","https://openalex.org/W2586334294","https://openalex.org/W2587136665","https://openalex.org/W2614951941","https://openalex.org/W2620950432","https://openalex.org/W2771525331","https://openalex.org/W2899136659","https://openalex.org/W2899490595","https://openalex.org/W2956126367"],"related_works":["https://openalex.org/W2895616727","https://openalex.org/W2517104666","https://openalex.org/W1669643531","https://openalex.org/W2134924024","https://openalex.org/W2039154422","https://openalex.org/W2023558673","https://openalex.org/W2008656436","https://openalex.org/W2182382398","https://openalex.org/W2574052219","https://openalex.org/W2085529769"],"abstract_inverted_index":{"In":[0,32],"recent":[1],"times,":[2],"there":[3],"has":[4],"been":[5],"a":[6,95],"tremendous":[7],"progress":[8],"in":[9,99],"image":[10,52],"dehazing":[11],"for":[12],"computer":[13],"vision":[14],"applications,":[15],"while":[16],"the":[17,45,51,62,80,83,100,104],"sky":[18,46,54,84],"region":[19,47,55,58,85],"processed":[20],"by":[21,27,69],"these":[22],"algorithms":[23],"tends":[24],"to":[25,86],"degrade":[26],"noise":[28,88],"and":[29,49,56,59,89],"color":[30,90],"distortion.":[31,91],"this":[33],"paper,":[34],"an":[35],"improved":[36],"dark":[37],"channel":[38],"prior":[39],"algorithm":[40,76],"is":[41],"proposed":[42,75],"which":[43],"detects":[44],"first":[48],"divides":[50],"into":[53],"non-sky":[57],"then":[60],"estimates":[61],"transmission":[63,81],"of":[64,82],"two":[65],"parts":[66],"separately,":[67],"followed":[68],"combining":[70],"with":[71],"refining":[72],"step.":[73],"The":[74],"also":[77],"accurately":[78],"corrects":[79],"avoid":[87],"Experimental":[92],"results":[93],"show":[94],"greater":[96],"quality":[97],"improvement":[98],"output":[101],"images":[102],"than":[103],"existing":[105],"strategies.":[106]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}