{"id":"https://openalex.org/W2010096339","doi":"https://doi.org/10.1145/1980022.1980053","title":"Deblurring of grayscale images using inverse and Wiener filter","display_name":"Deblurring of grayscale images using inverse and Wiener filter","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2010096339","doi":"https://doi.org/10.1145/1980022.1980053","mag":"2010096339"},"language":"en","primary_location":{"id":"doi:10.1145/1980022.1980053","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1980022.1980053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11","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/A5110013358","display_name":"Parth Sankhe","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"P. D. Sankhe","raw_affiliation_strings":["Thakur College of Engineering, Kandivali (E), Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Thakur College of Engineering, Kandivali (E), Mumbai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079585408","display_name":"Mukesh D. Patil","orcid":"https://orcid.org/0000-0002-0232-723X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Patil","raw_affiliation_strings":["Thakur College of Engineering, Kandivali (E), Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Thakur College of Engineering, Kandivali (E), Mumbai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052355526","display_name":"M.Alice Margaret","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Margaret","raw_affiliation_strings":["Thakur College of Engineering, Kandivali (E), Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Thakur College of Engineering, Kandivali (E), Mumbai, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110013358"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7727,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.74088352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9990000128746033,"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":0.9948999881744385,"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/deblurring","display_name":"Deblurring","score":0.9171294569969177},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.9006836414337158},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.6372184157371521},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6169896721839905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6037709712982178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5807983875274658},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.5722489356994629},{"id":"https://openalex.org/keywords/inverse-filter","display_name":"Inverse filter","score":0.5568321943283081},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3266400992870331},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29116642475128174},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19616129994392395},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.14686554670333862}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9171294569969177},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.9006836414337158},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.6372184157371521},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6169896721839905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6037709712982178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5807983875274658},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.5722489356994629},{"id":"https://openalex.org/C2779948431","wikidata":"https://www.wikidata.org/wiki/Q17092649","display_name":"Inverse filter","level":3,"score":0.5568321943283081},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3266400992870331},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29116642475128174},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19616129994392395},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.14686554670333862},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1980022.1980053","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1980022.1980053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2017340278","https://openalex.org/W2088909704","https://openalex.org/W2121689659","https://openalex.org/W2150060382"],"related_works":["https://openalex.org/W2468652750","https://openalex.org/W2343612851","https://openalex.org/W2354226224","https://openalex.org/W2060018053","https://openalex.org/W2102992489","https://openalex.org/W2094238738","https://openalex.org/W4313023825","https://openalex.org/W2906703443","https://openalex.org/W2787706201","https://openalex.org/W2010096339"],"abstract_inverted_index":{"Images":[0],"are":[1,125],"produced":[2],"to":[3,10,38,68,91,164,179],"record":[4],"or":[5,42,50],"display":[6],"useful":[7,126],"information.":[8],"Due":[9],"imperfections":[11],"in":[12,132,148],"the":[13,19,28,48,53,76,116,120,135,139,176,180,184,189,192],"imaging":[14],"and":[15,59,79,100,194],"capturing":[16],"process,":[17],"however,":[18],"recorded":[20,77],"image":[21,34,40,43,55,65,96],"invariably":[22],"represents":[23],"a":[24,57],"degraded":[25,121],"version":[26],"of":[27,33,52,64,72,109,118,134,182],"original":[29,193],"scene.":[30],"The":[31,62,159,171],"field":[32],"restoration":[35,66,187],"(sometimes":[36],"referred":[37],"as":[39,107],"deblurring":[41],"deconvolution)":[44],"is":[45,67,87,115,162,175],"concerned":[46],"with":[47],"reconstruction":[49],"estimation":[51],"uncorrupted":[54],"from":[56,145],"blurred":[58],"noisy":[60],"one.":[61],"purpose":[63],"produce":[69,151],"best":[70],"estimate":[71],"source":[73],"image,":[74],"given":[75],"data":[78],"some":[80],"apriori":[81],"knowledge.":[82],"In":[83],"this":[84],"paper,":[85],"technique":[86],"presented":[88],"which":[89],"attempts":[90],"use":[92,165],"two":[93],"algorithms":[94],"for":[95,127],"restorations:":[97],"Wiener":[98,173],"filter":[99,103,174],"Fourier":[101],"inverse":[102],"including":[104],"further":[105],"work":[106],"implementation":[108],"Lucy":[110],"Richardson":[111],"algorithm.":[112],"Inverse":[113,123],"filtering":[114],"process":[117],"recovering":[119],"image.":[122],"filters":[124],"precorrecting":[128],"an":[129],"input":[130],"signal":[131],"anticipation":[133],"degradations":[136],"caused":[137],"by":[138],"system.":[140],"This":[141],"approach":[142,161],"also":[143],"suffers":[144],"problems":[146],"that":[147],"most":[149],"cases":[150],"unacceptable":[152],"results,":[153],"assumes":[154],"no":[155],"noise,":[156],"only":[157],"blurring.":[158],"preferred":[160],"therefore":[163],"methods":[166],"based":[167],"on":[168],"least":[169],"squares.":[170],"so-called":[172],"classic":[177],"solution":[178],"problem":[181],"minimizing":[183],"mean":[185],"squared":[186],"error,":[188],"difference":[190],"between":[191],"restored":[195],"images.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}