{"id":"https://openalex.org/W2588400456","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852700","title":"A kind of effective method of removing compound noise in image","display_name":"A kind of effective method of removing compound noise in image","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2588400456","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852700","mag":"2588400456"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2016.7852700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th 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/A5100376682","display_name":"Hongyan Chen","orcid":"https://orcid.org/0000-0003-4141-048X"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongyan Chen","raw_affiliation_strings":["Electronic Engineering College, Chengdu University of Information Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering College, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100376682"],"corresponding_institution_ids":["https://openalex.org/I24201400"],"apc_list":null,"apc_paid":null,"fwci":0.501,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.74627016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9962999820709229,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.5866033434867859},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5666024684906006},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5274522304534912},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43026047945022583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3847132623195648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5866033434867859},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5666024684906006},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5274522304534912},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43026047945022583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3847132623195648}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2016.7852700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th 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":15,"referenced_works":["https://openalex.org/W150130821","https://openalex.org/W969436174","https://openalex.org/W1546907454","https://openalex.org/W1548802052","https://openalex.org/W1971042117","https://openalex.org/W1974092838","https://openalex.org/W2076355923","https://openalex.org/W2138915905","https://openalex.org/W2178982106","https://openalex.org/W2227532598","https://openalex.org/W2352806599","https://openalex.org/W2360527487","https://openalex.org/W2376068176","https://openalex.org/W4205778870","https://openalex.org/W6632837064"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"The":[0,41],"noise":[1,17,25,34,54,57,86,90],"is":[2,12,30,49,99,123],"generally":[3],"not":[4],"a":[5,105],"single":[6,52],"type":[7],"in":[8,35,69],"digital":[9],"image,":[10],"which":[11],"usually":[13,80],"composed":[14],"of":[15,27,84,114,140],"Gaussian":[16,53],"and":[18,32,45,118,137],"pulse":[19],"noise.":[20,74,145],"So":[21],"the":[22,28,33,72,92,103,112,130],"signal":[23],"to":[24,38,64],"ratio":[26],"image":[29,107,141],"low":[31],"images":[36],"needs":[37],"be":[39],"processed.":[40],"traditional":[42,119],"denoising":[43,60,67,78,97,108,121],"algorithm":[44,48],"various":[46],"improved":[47],"effective":[50],"for":[51],"or":[55],"impulse":[56],"mostly,":[58],"these":[59],"algorithms":[61],"are":[62],"unable":[63],"obtain":[65],"satisfactory":[66],"effect":[68,98],"dealing":[70],"with":[71],"mixed":[73,144],"Some":[75],"existing":[76],"hybrid":[77],"methods":[79],"change":[81],"distribution":[82],"characteristics":[83],"another":[85],"when":[87,142],"removing":[88,143],"one":[89],"at":[91],"same":[93],"time,":[94],"so":[95],"subsequent":[96],"affected.":[100],"To":[101],"resolve":[102],"problem,":[104],"composite":[106],"method":[109,122,131],"based":[110],"on":[111],"combination":[113],"independent":[115],"component":[116],"analysis":[117],"spatial":[120],"proposed.":[124],"Simulation":[125],"experiment":[126],"results":[127],"show":[128],"that":[129],"can":[132],"effectively":[133],"preserve":[134],"edge":[135],"details":[136],"other":[138],"information":[139]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
