{"id":"https://openalex.org/W1589615993","doi":"https://doi.org/10.1109/icme.2015.7177495","title":"A mixed noise removal algorithm based on the maximum entropy principle","display_name":"A mixed noise removal algorithm based on the maximum entropy principle","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1589615993","doi":"https://doi.org/10.1109/icme.2015.7177495","mag":"1589615993"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2015.7177495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2015.7177495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110367017","display_name":"Shang Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shang Wu","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China","School of Computer Science and Technology, Tianjin University, 300072, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, 300072, China;","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077573837","display_name":"Qing Xu","orcid":"https://orcid.org/0000-0002-8243-6670"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Xu","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China","School of Computer Science and Technology, Tianjin University, 300072, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, 300072, China;","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111463819","display_name":"J. Li","orcid":"https://orcid.org/0000-0002-3275-4718"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialang Li","raw_affiliation_strings":["Tianjin University, Tianjin, Tianjin, CN","School of Computer Science and Technology, Tianjin University, 300072, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, Tianjin, CN","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, 300072, China;","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023978917","display_name":"Yuejun Guo","orcid":"https://orcid.org/0000-0002-5535-2420"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuejun Guo","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China","School of Computer Science and Technology, Tianjin University, 300072, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, 300072, China;","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9955000281333923,"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":0.9641000032424927,"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/impulse-noise","display_name":"Impulse noise","score":0.831217348575592},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.8038057684898376},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.658279299736023},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.6413686275482178},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.6293135285377502},{"id":"https://openalex.org/keywords/value-noise","display_name":"Value noise","score":0.6269502639770508},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.5633798241615295},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5440974831581116},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5236068367958069},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5101268887519836},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4936014413833618},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4922539293766022},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4557603597640991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43869268894195557},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.43261387944221497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36834800243377686},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22871607542037964},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20878231525421143},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.19503098726272583},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12475046515464783},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.09521925449371338}],"concepts":[{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.831217348575592},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.8038057684898376},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.658279299736023},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.6413686275482178},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.6293135285377502},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.6269502639770508},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.5633798241615295},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5440974831581116},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5236068367958069},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5101268887519836},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4936014413833618},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4922539293766022},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4557603597640991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43869268894195557},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.43261387944221497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36834800243377686},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22871607542037964},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20878231525421143},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.19503098726272583},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12475046515464783},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.09521925449371338},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2015.7177495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2015.7177495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multimedia and Expo (ICME)","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/W1591486509","https://openalex.org/W2018322597","https://openalex.org/W2032558547","https://openalex.org/W2033603511","https://openalex.org/W2035425462","https://openalex.org/W2067681708","https://openalex.org/W2094903560","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2104154760","https://openalex.org/W2109239774","https://openalex.org/W2122374500","https://openalex.org/W2123145781","https://openalex.org/W2127078478","https://openalex.org/W2136210095","https://openalex.org/W2150427434","https://openalex.org/W2160817147","https://openalex.org/W2160924560","https://openalex.org/W2162053094","https://openalex.org/W2164893552","https://openalex.org/W3098164245","https://openalex.org/W6681928427"],"related_works":["https://openalex.org/W2343314293","https://openalex.org/W2144975018","https://openalex.org/W2464903433","https://openalex.org/W2980586888","https://openalex.org/W2052906657","https://openalex.org/W2358185860","https://openalex.org/W2369770188","https://openalex.org/W2290428876","https://openalex.org/W2736132426","https://openalex.org/W2111069477"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,39],"novel":[4],"method":[5],"for":[6],"image":[7,17,88],"denoising":[8],"based":[9,57],"on":[10,58],"the":[11,45,54,59],"maximum":[12,60],"entropy":[13,61],"principle.":[14],"For":[15],"an":[16,48],"corrupted":[18],"by":[19,38],"Gaussian":[20,41,80],"and":[21,35,81,90],"impulse":[22,24,82],"noise,":[23],"noise":[25,46,83],"with":[26,53],"high":[27],"value":[28],"is":[29,63],"detected":[30],"first":[31],"using":[32],"rank":[33],"statistics,":[34],"then":[36],"removed":[37],"local":[40],"filter.":[42],"To":[43],"remove":[44,76],"left,":[47],"improved":[49],"self-adaptive":[50],"non-local":[51],"filter,":[52],"weights":[55],"obtained":[56],"principle,":[62],"performed.":[64],"The":[65],"experimental":[66],"results":[67],"demonstrate":[68],"that":[69],"our":[70],"approach":[71],"has":[72],"significant":[73],"ability":[74],"to":[75],"any":[77],"mix":[78],"of":[79,86],"in":[84],"terms":[85],"quantitatively":[87],"evaluation":[89],"qualitatively":[91],"visual":[92],"effect.":[93]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
