{"id":"https://openalex.org/W2028515450","doi":"https://doi.org/10.1145/2425333.2425349","title":"Accelerating non-local denoising with a patch based dictionary","display_name":"Accelerating non-local denoising with a patch based dictionary","publication_year":2012,"publication_date":"2012-12-16","ids":{"openalex":"https://openalex.org/W2028515450","doi":"https://doi.org/10.1145/2425333.2425349","mag":"2028515450"},"language":"en","primary_location":{"id":"doi:10.1145/2425333.2425349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2425333.2425349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and 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/A5002134431","display_name":"Hemalata Bhujle","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Hemalata Bhujle","raw_affiliation_strings":["Indian Institute of Technology Bombay, Mumbai, India","Indian Institute of Technology-Bombay, Mumbai, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Indian Institute of Technology-Bombay, Mumbai, India#TAB#","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016405213","display_name":"Subhasis Chaudhuri","orcid":"https://orcid.org/0000-0002-1680-0016"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subhasis Chaudhuri","raw_affiliation_strings":["Indian Institute of Technology Bombay, Mumbai, India","Indian Institute of Technology-Bombay, Mumbai, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Indian Institute of Technology-Bombay, Mumbai, India#TAB#","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002134431"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56361352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9961000084877014,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9936000108718872,"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":0.6997373104095459},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6898390054702759},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6476088762283325},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6344771385192871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5677926540374756},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5356926918029785},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5195565223693848},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.510057270526886},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48364245891571045},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.46398308873176575},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36301639676094055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23609131574630737}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6997373104095459},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6898390054702759},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6476088762283325},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6344771385192871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5677926540374756},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5356926918029785},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5195565223693848},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.510057270526886},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48364245891571045},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.46398308873176575},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36301639676094055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23609131574630737},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2425333.2425349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2425333.2425349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1494195692","https://openalex.org/W1592287264","https://openalex.org/W1992419399","https://openalex.org/W2006269342","https://openalex.org/W2009371568","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2103559027","https://openalex.org/W2104154760","https://openalex.org/W2128265222","https://openalex.org/W2136396015","https://openalex.org/W2137901785","https://openalex.org/W2141245797","https://openalex.org/W2142940228","https://openalex.org/W2150134853","https://openalex.org/W2156668482","https://openalex.org/W2169017160","https://openalex.org/W4214649671","https://openalex.org/W6680349301"],"related_works":["https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W2353444452","https://openalex.org/W2001438600","https://openalex.org/W2499707420","https://openalex.org/W4401570210"],"abstract_inverted_index":{"Nonlocal":[0],"means":[1],"(NLM)":[2],"image":[3],"denoising":[4,66],"algorithm":[5,160],"is":[6,21,151,161],"not":[7],"feasible":[8],"in":[9,33,52,86,104,137],"many":[10],"applications":[11],"due":[12,22],"to":[13,23,163],"its":[14],"high":[15],"computational":[16,19,138],"cost.":[17],"High":[18],"burden":[20],"the":[24,34,49,53,62,105,123,141,156],"search":[25,147],"of":[26,45,55,64,77,80,84,149],"similar":[27,50,90,100,120],"patches":[28,51,88,101,121],"for":[29],"each":[30,97],"reference":[31],"patch":[32],"entire":[35],"image.":[36],"In":[37,108],"this":[38],"paper,":[39],"we":[40],"present":[41],"a":[42,56,70,75,134],"novel":[43],"technique":[44],"preselecting":[46],"and":[47,58],"grouping":[48],"form":[54],"dictionary":[57,71,116],"hence":[59],"speeding":[60],"up":[61],"computation":[63],"NLM":[65,112,130,143,150,169],"method.":[67,131],"We":[68,132],"build":[69],"only":[72],"once,":[73],"with":[74,89,110,122],"set":[76],"training":[78],"images":[79],"all":[81],"possible":[82],"classes":[83],"objects,":[85],"which":[87],"photometric":[91],"structures":[92],"are":[93,102],"clustered":[94],"together.":[95],"For":[96],"noisy":[98],"patch,":[99],"searched":[103],"global":[106],"dictionary.":[107],"contrast":[109],"previous":[111],"speedup":[113],"strategies,":[114],"our":[115],"building":[117],"approach":[118],"preclassifies":[119],"same":[124],"distance":[125],"measure":[126],"as":[127,172,174],"used":[128],"by":[129],"achieve":[133],"substantial":[135],"reduction":[136],"time":[139],"than":[140],"original":[142],"method":[144],"especially":[145],"when":[146],"window":[148],"large,":[152],"without":[153],"much":[154],"affecting":[155],"PSNR.":[157],"The":[158],"proposed":[159],"shown":[162],"outperform":[164],"other":[165],"prefiltering":[166],"based":[167],"fast":[168],"algorithms":[170],"computationally":[171],"well":[173],"qualitatively.":[175]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}