{"id":"https://openalex.org/W1980512298","doi":"https://doi.org/10.1109/tip.2015.2409566","title":"Minimum Risk Wavelet Shrinkage Operator for Poisson Image Denoising","display_name":"Minimum Risk Wavelet Shrinkage Operator for Poisson Image Denoising","publication_year":2015,"publication_date":"2015-03-06","ids":{"openalex":"https://openalex.org/W1980512298","doi":"https://doi.org/10.1109/tip.2015.2409566","mag":"1980512298","pmid":"https://pubmed.ncbi.nlm.nih.gov/25769158"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2015.2409566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2409566","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101961792","display_name":"Cheng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wu Cheng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA","Department of Electrical and Computer Engineering, University of Dayton , Dayton, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA","institution_ids":["https://openalex.org/I127591826"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton , Dayton, OH, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084211411","display_name":"Keigo Hirakawa","orcid":"https://orcid.org/0000-0002-0818-7688"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keigo Hirakawa","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA","Department of Electrical and Computer Engineering, University of Dayton , Dayton, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA","institution_ids":["https://openalex.org/I127591826"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton , Dayton, OH, USA","institution_ids":["https://openalex.org/I127591826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I127591826"],"apc_list":null,"apc_paid":null,"fwci":3.0711,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92573042,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"5","first_page":"1660","last_page":"1671"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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":0.9993000030517578,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9904000163078308,"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6838969588279724},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.681890606880188},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.67894446849823},{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.6437420845031738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5177978277206421},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5128176808357239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46990248560905457},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4664919376373291},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4658805727958679},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.447447806596756},{"id":"https://openalex.org/keywords/shot-noise","display_name":"Shot noise","score":0.44281792640686035},{"id":"https://openalex.org/keywords/shrinkage","display_name":"Shrinkage","score":0.4300929009914398},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.42087316513061523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40919822454452515},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3907546103000641},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38758304715156555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3722500205039978},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.2640150189399719},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2251153588294983}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6838969588279724},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.681890606880188},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.67894446849823},{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.6437420845031738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5177978277206421},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5128176808357239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46990248560905457},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4664919376373291},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4658805727958679},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.447447806596756},{"id":"https://openalex.org/C72659945","wikidata":"https://www.wikidata.org/wiki/Q1503574","display_name":"Shot noise","level":3,"score":0.44281792640686035},{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.4300929009914398},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.42087316513061523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40919822454452515},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3907546103000641},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38758304715156555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3722500205039978},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2640150189399719},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2251153588294983},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2015.2409566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2409566","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:25769158","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25769158","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3717308151","display_name":null,"funder_award_id":"1422104","funder_id":"https://openalex.org/F4320332169","funder_display_name":"Directorate for Computer and Information Science and Engineering"}],"funders":[{"id":"https://openalex.org/F4320310638","display_name":"McGill University","ror":"https://ror.org/01pxwe438"},{"id":"https://openalex.org/F4320332169","display_name":"Directorate for Computer and Information Science and Engineering","ror":"https://ror.org/025kzpk63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W155435034","https://openalex.org/W755141289","https://openalex.org/W1590636096","https://openalex.org/W1658679052","https://openalex.org/W1972831993","https://openalex.org/W1974260768","https://openalex.org/W2006221457","https://openalex.org/W2016309114","https://openalex.org/W2021262032","https://openalex.org/W2028334336","https://openalex.org/W2039417388","https://openalex.org/W2048119506","https://openalex.org/W2050957103","https://openalex.org/W2052816228","https://openalex.org/W2054203776","https://openalex.org/W2056370875","https://openalex.org/W2060619704","https://openalex.org/W2079724595","https://openalex.org/W2085389239","https://openalex.org/W2092923243","https://openalex.org/W2108855378","https://openalex.org/W2110264793","https://openalex.org/W2113945798","https://openalex.org/W2115755118","https://openalex.org/W2119920974","https://openalex.org/W2122271833","https://openalex.org/W2125852763","https://openalex.org/W2133665775","https://openalex.org/W2142280715","https://openalex.org/W2143854715","https://openalex.org/W2143950003","https://openalex.org/W2148791483","https://openalex.org/W2153328975","https://openalex.org/W2161626445","https://openalex.org/W2166135831","https://openalex.org/W2170646598","https://openalex.org/W2339901436","https://openalex.org/W2800695765","https://openalex.org/W3121742466","https://openalex.org/W4231394761","https://openalex.org/W4244999010","https://openalex.org/W4249214388","https://openalex.org/W4255521522","https://openalex.org/W6606319343","https://openalex.org/W6635437809","https://openalex.org/W6663858324","https://openalex.org/W6682285136"],"related_works":["https://openalex.org/W2391958761","https://openalex.org/W2765453142","https://openalex.org/W2356780078","https://openalex.org/W2356008845","https://openalex.org/W255134961","https://openalex.org/W2348314720","https://openalex.org/W4287028758","https://openalex.org/W3187775112","https://openalex.org/W2019617431","https://openalex.org/W1990998084"],"abstract_inverted_index":{"The":[0,65],"pixel":[1],"values":[2],"of":[3,33,70],"images":[4],"taken":[5],"by":[6,15,37,46],"an":[7],"image":[8,22,62],"sensor":[9],"are":[10],"said":[11],"to":[12],"be":[13],"corrupted":[14],"Poisson":[16,21,61],"noise.":[17],"To":[18],"date,":[19],"multiscale":[20,60],"denoising":[23,63],"techniques":[24],"have":[25],"processed":[26],"Haar":[27],"frame":[28],"and":[29],"wavelet":[30,76],"coefficients--the":[31],"modeling":[32],"coefficients":[34,77],"is":[35],"enabled":[36],"the":[38,55,59],"Skellam":[39,52],"distribution":[40],"analysis.":[41],"We":[42],"extend":[43],"these":[44],"results":[45],"solving":[47],"for":[48,51],"shrinkage":[49,68],"operators":[50],"that":[53],"minimizes":[54],"risk":[56,67],"functional":[57],"in":[58],"setting.":[64],"minimum":[66,79],"operator":[69],"this":[71],"kind":[72],"effectively":[73],"produces":[74],"denoised":[75],"with":[78],"attainable":[80],"L2":[81],"error.":[82]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
