{"id":"https://openalex.org/W4283215167","doi":"https://doi.org/10.1145/3529836.3529919","title":"Deep-learning Based Denoising and Enhancement in Video Image of Approach Channel","display_name":"Deep-learning Based Denoising and Enhancement in Video Image of Approach Channel","publication_year":2022,"publication_date":"2022-02-18","ids":{"openalex":"https://openalex.org/W4283215167","doi":"https://doi.org/10.1145/3529836.3529919"},"language":"en","primary_location":{"id":"doi:10.1145/3529836.3529919","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529836.3529919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Machine Learning and Computing (ICMLC)","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/A5021847960","display_name":"Hang Jiao","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hang Jiao","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558809","display_name":"Peng Yuan","orcid":"https://orcid.org/0000-0002-4305-6499"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Yuan","raw_affiliation_strings":["School of Naval Architecture, Wuhan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Naval Architecture, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023115140","display_name":"Jiaocheng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaocheng Liu","raw_affiliation_strings":["School of Navigation, Wuhan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Navigation, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021079907","display_name":"Xujie Ren","orcid":"https://orcid.org/0000-0003-1007-8349"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xujie Ren","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015523880","display_name":"Jufu Zhang","orcid":"https://orcid.org/0000-0001-6592-7024"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jufu Zhang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021847960"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04754095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"53","issue":null,"first_page":"435","last_page":"440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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":0.9994999766349792,"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/video-denoising","display_name":"Video denoising","score":0.8230582475662231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.800592303276062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7608254551887512},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6738079786300659},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6554117798805237},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5669916272163391},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5598172545433044},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.522510290145874},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45225170254707336},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43914595246315},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.43866705894470215},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.41095757484436035},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.33092862367630005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28612834215164185},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.21126902103424072},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.12066870927810669},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08613511919975281},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07902592420578003}],"concepts":[{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.8230582475662231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.800592303276062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7608254551887512},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6738079786300659},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6554117798805237},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5669916272163391},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5598172545433044},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.522510290145874},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45225170254707336},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43914595246315},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.43866705894470215},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.41095757484436035},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.33092862367630005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28612834215164185},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.21126902103424072},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.12066870927810669},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08613511919975281},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07902592420578003},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3529836.3529919","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529836.3529919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Machine Learning and Computing (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1836967730","https://openalex.org/W2037642501","https://openalex.org/W2047710600","https://openalex.org/W2109773745","https://openalex.org/W2113313537","https://openalex.org/W2122632184","https://openalex.org/W2124843241","https://openalex.org/W2164847484","https://openalex.org/W2194775991","https://openalex.org/W2254039850","https://openalex.org/W2520164769","https://openalex.org/W3048737448","https://openalex.org/W3163925244","https://openalex.org/W3181175604","https://openalex.org/W3209369922","https://openalex.org/W4212991200"],"related_works":["https://openalex.org/W4389544177","https://openalex.org/W2735220192","https://openalex.org/W3178064017","https://openalex.org/W2544176622","https://openalex.org/W2491762871","https://openalex.org/W2795379073","https://openalex.org/W2338948416","https://openalex.org/W2137956410","https://openalex.org/W2219535355","https://openalex.org/W2540974710"],"abstract_inverted_index":{"Due":[0],"to":[1,11,32,84,109,134,171],"the":[2,17,20,37,86,97,111,116,128,136,139,143,149,180,188],"ubiquitous":[3],"video":[4,39,72,90,113,183],"sensor":[5],"technology,":[6],"it":[7],"has":[8],"become":[9],"possible":[10],"build":[12],"intelligent":[13],"information":[14],"system":[15],"for":[16],"supervision":[18],"of":[19,62,88,94,138,182,187],"approach":[21,189],"channel.":[22,190],"However,":[23],"at":[24,175],"present,":[25,176],"there":[26],"is":[27,100,132,169],"still":[28],"a":[29,60,71,101,121],"technical":[30],"problem":[31],"be":[33],"solved,":[34],"that":[35,165],"is,":[36],"low-visibility":[38],"images":[40],"taken":[41],"in":[42,124],"low-light":[43,89],"environment":[44],"have":[45],"low":[46,48,51],"brightness,":[47],"contrast":[49],"and":[50,75,126,146,151,158,177,185],"signal-to-noise":[52],"ratio.":[53],"Meanwhile,":[54],"they":[55],"are":[56],"also":[57],"mixed":[58],"with":[59,142],"lot":[61],"noise,":[63],"which":[64,105,131],"makes":[65],"data":[66,162],"extraction":[67],"difficult.":[68],"We":[69],"propose":[70],"image":[73,141],"denoising":[74,150,184],"enhancement":[76,152,186],"network":[77,123],"based":[78],"on":[79,156],"deep":[80,102],"learning,":[81],"named":[82,107],"DeNet,":[83],"improve":[85],"quality":[87],"images.":[91],"DeNet":[92],"consists":[93],"two":[95],"parts:":[96],"first":[98],"part":[99],"residual":[103],"network,":[104],"we":[106,119],"D-Net,":[108],"denoise":[110],"original":[112,144],"image.":[114],"In":[115],"second":[117],"part,":[118],"connect":[120],"D-Net":[122],"parallel":[125],"add":[127],"normalization":[129],"layer,":[130],"used":[133],"fuse":[135],"features":[137],"denoised":[140],"image,":[145],"eventually":[147],"realize":[148],"function.":[153],"Experimental":[154],"results":[155],"synthetic":[157],"real":[159],"port":[160],"test":[161],"sets":[163],"show":[164],"our":[166],"proposed":[167],"method":[168],"superior":[170],"many":[172],"advanced":[173],"methods":[174],"can":[178],"meet":[179],"requirements":[181]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
