{"id":"https://openalex.org/W2912885816","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633143","title":"Improved Denoising Auto-Encoders for Image Denoising","display_name":"Improved Denoising Auto-Encoders for Image Denoising","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2912885816","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633143","mag":"2912885816"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2018.8633143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5101880949","display_name":"Qian Xiang","orcid":"https://orcid.org/0000-0001-6752-1239"},"institutions":[{"id":"https://openalex.org/I4210121573","display_name":"Wuchang University of Technology","ror":"https://ror.org/02mqsna37","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210121573"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Xiang","raw_affiliation_strings":["The College of Information Engineering, Wuchang Institute of Technology, Wuhan, P. R. China"],"affiliations":[{"raw_affiliation_string":"The College of Information Engineering, Wuchang Institute of Technology, Wuhan, P. R. China","institution_ids":["https://openalex.org/I4210121573"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039634452","display_name":"Xuliang Pang","orcid":"https://orcid.org/0000-0003-0047-4057"},"institutions":[{"id":"https://openalex.org/I4210121573","display_name":"Wuchang University of Technology","ror":"https://ror.org/02mqsna37","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210121573"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuliang Pang","raw_affiliation_strings":["The College of Information Engineering, Wuchang Institute of Technology, Wuhan, P. R. China"],"affiliations":[{"raw_affiliation_string":"The College of Information Engineering, Wuchang Institute of Technology, Wuhan, P. R. China","institution_ids":["https://openalex.org/I4210121573"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101880949"],"corresponding_institution_ids":["https://openalex.org/I4210121573"],"apc_list":null,"apc_paid":null,"fwci":0.8357,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.79630002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9909999966621399,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9873999953269958,"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/video-denoising","display_name":"Video denoising","score":0.8808634877204895},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.8118672370910645},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.7158617973327637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5752753019332886},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5520126819610596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5467232465744019},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.504116415977478},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5029141306877136},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45915287733078003},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.4233516454696655},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.41647422313690186},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.39789775013923645},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3958948254585266},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.12279760837554932}],"concepts":[{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.8808634877204895},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.8118672370910645},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.7158617973327637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752753019332886},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5520126819610596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5467232465744019},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.504116415977478},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5029141306877136},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45915287733078003},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.4233516454696655},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.41647422313690186},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.39789775013923645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3958948254585266},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.12279760837554932},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2018.8633143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2002474737","https://openalex.org/W2033585489","https://openalex.org/W2046245205","https://openalex.org/W2056370875","https://openalex.org/W2097073572","https://openalex.org/W2130754596","https://openalex.org/W2133665775","https://openalex.org/W2145094598","https://openalex.org/W2145367339","https://openalex.org/W2146337213","https://openalex.org/W2312245527","https://openalex.org/W2508457857","https://openalex.org/W2519021257","https://openalex.org/W2520164769","https://openalex.org/W2734455804","https://openalex.org/W2761550237","https://openalex.org/W2769135138","https://openalex.org/W2790108828","https://openalex.org/W2793109148","https://openalex.org/W2919115771","https://openalex.org/W2997574889","https://openalex.org/W6681686951"],"related_works":["https://openalex.org/W233850645","https://openalex.org/W2035842925","https://openalex.org/W2078677256","https://openalex.org/W2349830345","https://openalex.org/W3049417898","https://openalex.org/W2380616154","https://openalex.org/W2130779874","https://openalex.org/W2478726262","https://openalex.org/W3145248306","https://openalex.org/W2038040857"],"abstract_inverted_index":{"Image":[0],"denoising":[1,11,25,38,85,119],"is":[2],"an":[3,58],"important":[4],"pre-processing":[5],"step":[6],"in":[7,121],"image":[8,37,50],"analysis.":[9],"Various":[10],"algorithms,":[12],"such":[13],"as":[14,77],"BM3D,":[15,91],"PCD":[16],"and":[17,30,56,70,96,112,124],"K-SVD,":[18],"obtain":[19],"remarkable":[20],"effects.":[21],"Recently":[22],"a":[23],"deep":[24],"auto-encoder":[26],"has":[27],"been":[28],"proposed":[29],"shown":[31],"excellent":[32],"performance":[33],"compared":[34],"to":[35],"conventional":[36,84],"algorithms.":[39,100],"In":[40],"this":[41],"paper,":[42],"we":[43],"study":[44],"the":[45,104],"statistical":[46],"features":[47],"of":[48],"restored":[49],"residuals":[51],"produced":[52],"by":[53],"Denoising":[54,64,89,106],"Auto-encoders":[55,65,107],"propose":[57],"improved":[59],"training":[60],"loss":[61],"function":[62],"for":[63],"based":[66],"on":[67],"Method":[68],"noise":[69],"entropy":[71],"maximization":[72],"principle,":[73],"with":[74,83],"residual":[75],"statistics":[76],"constraint":[78],"conditions.":[79],"We":[80],"compare":[81],"it":[82],"algorithms":[86],"including":[87],"original":[88],"Auto-encoders,":[90],"total":[92],"variation":[93],"(TV)":[94],"minimization,":[95],"non-local":[97],"mean":[98],"(NLM)":[99],"Experiments":[101],"indicate":[102],"that":[103],"Improved":[105],"introduce":[108],"less":[109],"non-existent":[110],"artifacts":[111],"are":[113],"more":[114],"robustness":[115],"than":[116],"other":[117],"state-of-the-art":[118],"methods":[120],"both":[122],"PSNR":[123],"SSIM":[125],"indexes,":[126],"especially":[127],"under":[128],"low":[129],"SNR.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}