{"id":"https://openalex.org/W4403944695","doi":"https://doi.org/10.31577/cai_2024_5_1111","title":"BDANet: Boosted Dense Attention Hierarchical Network for Image Denoising","display_name":"BDANet: Boosted Dense Attention Hierarchical Network for Image Denoising","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403944695","doi":"https://doi.org/10.31577/cai_2024_5_1111"},"language":"en","primary_location":{"id":"doi:10.31577/cai_2024_5_1111","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2024_5_1111","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2024_5_1111/1316","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2024_5_1111/1316","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076654622","display_name":"Yun Jia","orcid":"https://orcid.org/0000-0002-2844-8777"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun Jia","raw_affiliation_strings":["School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, 264003, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, 264003, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043947025","display_name":"Lidan Yu","orcid":"https://orcid.org/0009-0005-8168-1120"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lidan Yu","raw_affiliation_strings":["School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, 264003, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, 264003, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108230171","display_name":"Jie Zhao","orcid":"https://orcid.org/0000-0001-5695-1735"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhao","raw_affiliation_strings":["School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, 264003, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, 264003, China","institution_ids":["https://openalex.org/I83776822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076654622"],"corresponding_institution_ids":["https://openalex.org/I83776822"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19240621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"43","issue":"5","first_page":"1111","last_page":"1136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.942300021648407,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.942300021648407,"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/image-denoising","display_name":"Image denoising","score":0.6377960443496704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5868576765060425},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5605723857879639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5312245488166809},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4243873059749603},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4142836332321167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36796045303344727}],"concepts":[{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.6377960443496704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5868576765060425},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5605723857879639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5312245488166809},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4243873059749603},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4142836332321167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36796045303344727}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31577/cai_2024_5_1111","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2024_5_1111","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2024_5_1111/1316","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31577/cai_2024_5_1111","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2024_5_1111","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2024_5_1111/1316","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403944695.pdf","grobid_xml":"https://content.openalex.org/works/W4403944695.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W4312627788","https://openalex.org/W2353444452","https://openalex.org/W2001438600","https://openalex.org/W2499707420"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1,67],"networks":[2,172],"have":[3],"been":[4],"widely":[5],"applied":[6],"in":[7,98,106,115,144,191,211],"image":[8,64,180,201],"denoising":[9,16,171,181,203],"tasks":[10],"with":[11,137,154,183],"great":[12],"success.":[13],"However,":[14],"many":[15],"models":[17],"extract":[18],"more":[19],"feature":[20,87,131],"information":[21,105],"by":[22,204],"increasing":[23],"the":[24,32,70,82,99,107,125,145,200],"network":[25,59,134,206],"depth,":[26],"which":[27],"does":[28],"not":[29],"fully":[30],"utilize":[31],"shallow":[33],"features,":[34],"but":[35],"also":[36],"makes":[37],"it":[38,149],"difficult":[39],"to":[40,102,123,147,151,178],"obtain":[41],"accurate":[42],"noise":[43,108,139,142,159],"information.":[44],"In":[45,161],"this":[46],"paper,":[47],"we":[48],"introduce":[49],"a":[50,119,155],"novel":[51],"modified":[52],"U-Net":[53],"structure-based":[54],"boosted":[55],"dense":[56,76],"attention":[57],"neural":[58],"(BDANet)":[60],"specifically":[61],"designed":[62],"for":[63,129],"denoising.":[65],"The":[66,133],"block":[68],"within":[69],"encoding":[71],"layer":[72,101],"of":[73,158,187,193],"BDANet":[74,117,168,205],"incorporates":[75],"connections":[77],"and":[78,89,173,209],"residuals,":[79],"effectively":[80],"circumventing":[81],"vanishing":[83],"gradient":[84],"issue":[85],"through":[86],"reuse":[88],"local":[90],"residual":[91,104],"learning.":[92],"A":[93],"boosting":[94],"strategy":[95],"is":[96,135,207],"employed":[97],"decoding":[100],"augment":[103],"map.":[109],"To":[110],"adeptly":[111],"process":[112],"edge":[113],"details":[114,213],"images,":[116],"deploys":[118],"polarized":[120],"self-attentive":[121],"mechanism":[122],"direct":[124],"densely":[126],"connected":[127],"blocks":[128],"depth":[130],"extraction.":[132],"trained":[136],"Gaussian":[138,166],"at":[140],"random":[141],"levels":[143],"study":[146],"make":[148],"flexible":[150],"handle":[152],"images":[153],"wide":[156],"range":[157],"levels.":[160],"experimental":[162],"comparisons":[163],"involving":[164],"additive":[165],"noise,":[167],"outperformed":[169],"conventional":[170],"attained":[174],"competitive":[175],"results":[176,197],"relative":[177],"state-of-the-art":[179],"networks,":[182],"an":[184],"average":[185],"improvement":[186],"approximately":[188],"1.03":[189],"dB":[190],"terms":[192],"PSNR":[194],"values.":[195],"Visualization":[196],"show":[198],"that":[199],"after":[202],"sharper":[208],"richer":[210],"texture":[212],"than":[214],"other":[215],"methods.":[216]},"counts_by_year":[],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}
