{"id":"https://openalex.org/W7147561881","doi":"https://doi.org/10.1007/978-3-032-18474-0_27","title":"Dark Channel Prior Infused All-in-One Dehazing Network (DCPI-AODNet) for Single Image Dehazing","display_name":"Dark Channel Prior Infused All-in-One Dehazing Network (DCPI-AODNet) for Single Image Dehazing","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7147561881","doi":"https://doi.org/10.1007/978-3-032-18474-0_27"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-18474-0_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-18474-0_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5113405530","display_name":"Pranjal Saxena","orcid":null},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pranjal Saxena","raw_affiliation_strings":["Indian Institute of Technology Guwahati, Guwahati, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Guwahati, Guwahati, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126777802","display_name":"Teena Sharma","orcid":null},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Teena Sharma","raw_affiliation_strings":["Indian Institute of Technology Guwahati, Guwahati, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Guwahati, Guwahati, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014147535","display_name":"Nishchal K. Verma","orcid":"https://orcid.org/0000-0001-8752-5616"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nishchal K. Verma","raw_affiliation_strings":["Indian Institute of Technology Kanpur, Kanpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110120418","display_name":"Al Salour","orcid":null},"institutions":[{"id":"https://openalex.org/I2801120396","display_name":"Boeing (Australia)","ror":"https://ror.org/0346ase89","country_code":"AU","type":"company","lineage":["https://openalex.org/I1295339012","https://openalex.org/I2801120396"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Al Salour","raw_affiliation_strings":["Boeing Research and Technology at The Boeing Company, Arlington, TX, USA"],"affiliations":[{"raw_affiliation_string":"Boeing Research and Technology at The Boeing Company, Arlington, TX, USA","institution_ids":["https://openalex.org/I2801120396"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069050515","display_name":"Shantaram Vasikarla","orcid":null},"institutions":[{"id":"https://openalex.org/I157638225","display_name":"California State University, Northridge","ror":"https://ror.org/005f5hv41","country_code":"US","type":"education","lineage":["https://openalex.org/I157638225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shantaram Vasikarla","raw_affiliation_strings":["California State University, Northridge, Northridge, CA, USA"],"affiliations":[{"raw_affiliation_string":"California State University, Northridge, Northridge, CA, USA","institution_ids":["https://openalex.org/I157638225"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5126777802"],"corresponding_institution_ids":["https://openalex.org/I1317621060"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.97876106,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"387","last_page":"402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9865000247955322,"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":0.9865000247955322,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.0032999999821186066,"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":0.0012000000569969416,"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/channel","display_name":"Channel (broadcasting)","score":0.6996999979019165},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.6291000247001648},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5569999814033508},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43050000071525574},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.41110000014305115},{"id":"https://openalex.org/keywords/haze","display_name":"Haze","score":0.4092999994754791},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4066999852657318},{"id":"https://openalex.org/keywords/halo","display_name":"Halo","score":0.4043999910354614},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.3959999978542328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8966000080108643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7167999744415283},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6996999979019165},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.6291000247001648},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5978000164031982},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5569999814033508},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43050000071525574},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.41110000014305115},{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.4092999994754791},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4066999852657318},{"id":"https://openalex.org/C184665706","wikidata":"https://www.wikidata.org/wiki/Q186310","display_name":"Halo","level":3,"score":0.4043999910354614},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.3959999978542328},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.38519999384880066},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3801000118255615},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3538999855518341},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.32030001282691956},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.31619998812675476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.2822999954223633},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C17916492","wikidata":"https://www.wikidata.org/wiki/Q1144257","display_name":"Gamma correction","level":3,"score":0.27649998664855957},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.263700008392334},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.25600001215934753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-18474-0_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-18474-0_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2105234323","https://openalex.org/W2121880036","https://openalex.org/W2132885717","https://openalex.org/W2133665775","https://openalex.org/W2779176852","https://openalex.org/W2889053389","https://openalex.org/W2890894871","https://openalex.org/W2896302292","https://openalex.org/W2963928582","https://openalex.org/W2976065006","https://openalex.org/W3049085968","https://openalex.org/W3094642822","https://openalex.org/W3127949576","https://openalex.org/W3137219363","https://openalex.org/W3160674505","https://openalex.org/W3173971248","https://openalex.org/W3207757473","https://openalex.org/W4364305300","https://openalex.org/W4377833767","https://openalex.org/W4391697048","https://openalex.org/W4407638539"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}