{"id":"https://openalex.org/W2085386913","doi":"https://doi.org/10.1109/icip.2010.5651863","title":"Poisson noise removal via learned dictionary","display_name":"Poisson noise removal via learned dictionary","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2085386913","doi":"https://doi.org/10.1109/icip.2010.5651863","mag":"2085386913"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5651863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5047060039","display_name":"Xiao Yu","orcid":"https://orcid.org/0000-0002-4473-3068"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Xiao","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","School of Computer and Information Tech., Beijing Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer and Information Tech., Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059443966","display_name":"Tieyong Zeng","orcid":"https://orcid.org/0000-0002-0688-202X"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Tieyong Zeng","raw_affiliation_strings":["Department of Mathematics, Hong Kong Baptist University, Hong Kong, China","Department of Mathematics,Hong Kong Baptist University,Kowloon Tong,Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Department of Mathematics,Hong Kong Baptist University,Kowloon Tong,Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047060039"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.9699,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77988946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1177","last_page":"1180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.6608765721321106},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6509933471679688},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6330833435058594},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.6236703395843506},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6079309582710266},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5571343302726746},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.545923113822937},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5458678007125854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5437402129173279},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5402052402496338},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5253490805625916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4939609169960022},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.48969295620918274},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.45918673276901245},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4575255811214447},{"id":"https://openalex.org/keywords/shot-noise","display_name":"Shot noise","score":0.43690451979637146},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4267970025539398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42330485582351685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30302536487579346},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2534973621368408},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18656933307647705},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14123758673667908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6608765721321106},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6509933471679688},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6330833435058594},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.6236703395843506},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6079309582710266},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5571343302726746},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.545923113822937},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5458678007125854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5437402129173279},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5402052402496338},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5253490805625916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4939609169960022},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.48969295620918274},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.45918673276901245},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4575255811214447},{"id":"https://openalex.org/C72659945","wikidata":"https://www.wikidata.org/wiki/Q1503574","display_name":"Shot noise","level":3,"score":0.43690451979637146},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4267970025539398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42330485582351685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30302536487579346},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2534973621368408},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18656933307647705},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14123758673667908},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5651863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1509061790","https://openalex.org/W1972831993","https://openalex.org/W1973207753","https://openalex.org/W2092923243","https://openalex.org/W2103559027","https://openalex.org/W2110264793","https://openalex.org/W2116148865","https://openalex.org/W2127324070","https://openalex.org/W2128659236","https://openalex.org/W2138461515","https://openalex.org/W2139738865","https://openalex.org/W2141390467","https://openalex.org/W2153663612","https://openalex.org/W2157638633","https://openalex.org/W2160547390"],"related_works":["https://openalex.org/W2099321050","https://openalex.org/W2890952311","https://openalex.org/W2509955295","https://openalex.org/W2047275718","https://openalex.org/W2034957211","https://openalex.org/W110819671","https://openalex.org/W2388952560","https://openalex.org/W2149282631","https://openalex.org/W2011611369","https://openalex.org/W2204991413"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"address":[4],"the":[5,23,27,35,43,62,74,77,90],"restoration":[6],"of":[7,26,46,76,93],"images":[8],"corrupted":[9],"by":[10,42,80],"Poisson":[11,47],"noise.":[12,48],"The":[13,49],"proposed":[14],"new":[15,95],"model":[16],"contains":[17],"two":[18],"terms:":[19],"one":[20],"is":[21,37,52],"from":[22],"sparse":[24],"representation":[25],"transformed":[28,63],"image":[29,64],"via":[30],"variance":[31],"stabilizing":[32],"transformation":[33],"(VST);":[34],"other":[36],"a":[38,57,66],"data-fidelity":[39],"term":[40],"caused":[41],"statistical":[44],"properties":[45],"main":[50],"algorithm":[51],"efficient.":[53],"We":[54],"first":[55],"learn":[56],"dictionary":[58,68],"to":[59,88],"sparsely":[60],"represent":[61],"using":[65],"state-of-the-art":[67],"learning":[69],"method,":[70],"and":[71],"then":[72],"solve":[73],"minimization":[75],"variational":[78],"form":[79],"Newton":[81],"method.":[82],"Comparative":[83],"experiments":[84],"are":[85],"carried":[86],"out":[87],"show":[89],"leading":[91],"performance":[92],"our":[94],"model.":[96]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
