{"id":"https://openalex.org/W4213052730","doi":"https://doi.org/10.1007/s11042-022-12255-x","title":"A gray level indicator-based nonlinear diffusion equation for the removal of random-valued impulse noise","display_name":"A gray level indicator-based nonlinear diffusion equation for the removal of random-valued impulse noise","publication_year":2022,"publication_date":"2022-02-16","ids":{"openalex":"https://openalex.org/W4213052730","doi":"https://doi.org/10.1007/s11042-022-12255-x"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-022-12255-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-022-12255-x","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-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/A5012877361","display_name":"Kehan Shi","orcid":"https://orcid.org/0000-0003-0879-7766"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kehan Shi","raw_affiliation_strings":["Department of Mathematics, China Jiliang University, Hangzhou, 310018, China"],"raw_orcid":"https://orcid.org/0000-0003-0879-7766","affiliations":[{"raw_affiliation_string":"Department of Mathematics, China Jiliang University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I55538621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012877361"],"corresponding_institution_ids":["https://openalex.org/I55538621"],"apc_list":null,"apc_paid":null,"fwci":1.0204,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76318097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"81","issue":"8","first_page":"10529","last_page":"10544"},"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/T11205","display_name":"Numerical methods in inverse problems","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9876000285148621,"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/impulse-noise","display_name":"Impulse noise","score":0.7631608843803406},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.6981725096702576},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.6092394590377808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5784472227096558},{"id":"https://openalex.org/keywords/diffusion-equation","display_name":"Diffusion equation","score":0.50588458776474},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.4956752061843872},{"id":"https://openalex.org/keywords/mass-diffusivity","display_name":"Mass diffusivity","score":0.49530521035194397},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4946241080760956},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4841381013393402},{"id":"https://openalex.org/keywords/value-noise","display_name":"Value noise","score":0.44222384691238403},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.43743014335632324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40050044655799866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3601154088973999},{"id":"https://openalex.org/keywords/thermal-diffusivity","display_name":"Thermal diffusivity","score":0.32818472385406494},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.327625036239624},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3031383752822876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2866555452346802},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2602882981300354},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1292276680469513}],"concepts":[{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.7631608843803406},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.6981725096702576},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.6092394590377808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5784472227096558},{"id":"https://openalex.org/C571446","wikidata":"https://www.wikidata.org/wiki/Q6510183","display_name":"Diffusion equation","level":3,"score":0.50588458776474},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.4956752061843872},{"id":"https://openalex.org/C203496682","wikidata":"https://www.wikidata.org/wiki/Q604008","display_name":"Mass diffusivity","level":3,"score":0.49530521035194397},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4946241080760956},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4841381013393402},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.44222384691238403},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.43743014335632324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40050044655799866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3601154088973999},{"id":"https://openalex.org/C37668627","wikidata":"https://www.wikidata.org/wiki/Q3381809","display_name":"Thermal diffusivity","level":2,"score":0.32818472385406494},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.327625036239624},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3031383752822876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2866555452346802},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2602882981300354},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1292276680469513},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"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/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-022-12255-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-022-12255-x","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3690053838","display_name":null,"funder_award_id":"12001509","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3730486203","display_name":null,"funder_award_id":"LQ21A010010","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W40037269","https://openalex.org/W1160433918","https://openalex.org/W1579559187","https://openalex.org/W1965735782","https://openalex.org/W1968845065","https://openalex.org/W1970236216","https://openalex.org/W1979072167","https://openalex.org/W1994781189","https://openalex.org/W1996250961","https://openalex.org/W2014823423","https://openalex.org/W2031832209","https://openalex.org/W2033603511","https://openalex.org/W2036315407","https://openalex.org/W2038082577","https://openalex.org/W2044865345","https://openalex.org/W2056969581","https://openalex.org/W2097073572","https://openalex.org/W2103559027","https://openalex.org/W2104275258","https://openalex.org/W2107474456","https://openalex.org/W2109239774","https://openalex.org/W2114898750","https://openalex.org/W2124139674","https://openalex.org/W2125832591","https://openalex.org/W2132079455","https://openalex.org/W2133665775","https://openalex.org/W2139688964","https://openalex.org/W2143494782","https://openalex.org/W2148358298","https://openalex.org/W2150134853","https://openalex.org/W2165141499","https://openalex.org/W2166038728","https://openalex.org/W2529570353","https://openalex.org/W2581624718","https://openalex.org/W2757057438","https://openalex.org/W2910400038","https://openalex.org/W2963108975","https://openalex.org/W3006065751","https://openalex.org/W3011612142","https://openalex.org/W3014071762","https://openalex.org/W3088369595","https://openalex.org/W3104072696","https://openalex.org/W3107310328","https://openalex.org/W3132849585"],"related_works":["https://openalex.org/W2394151061","https://openalex.org/W2120405331","https://openalex.org/W2980586888","https://openalex.org/W2081933987","https://openalex.org/W3114722801","https://openalex.org/W2144975018","https://openalex.org/W2082281026","https://openalex.org/W2369770188","https://openalex.org/W1991133639","https://openalex.org/W2884752167"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}