{"id":"https://openalex.org/W1932003244","doi":"https://doi.org/10.5120/ijca2015906236","title":"Novel Fuzzy Filters for Noise Suppression from Digital Grey and Color Images","display_name":"Novel Fuzzy Filters for Noise Suppression from Digital Grey and Color Images","publication_year":2015,"publication_date":"2015-09-17","ids":{"openalex":"https://openalex.org/W1932003244","doi":"https://doi.org/10.5120/ijca2015906236","mag":"1932003244"},"language":"en","primary_location":{"id":"doi:10.5120/ijca2015906236","doi":"https://doi.org/10.5120/ijca2015906236","is_oa":true,"landing_page_url":"https://doi.org/10.5120/ijca2015906236","pdf_url":"https://doi.org/10.5120/ijca2015906236","source":{"id":"https://openalex.org/S4210206007","display_name":"International Journal of Computer Applications","issn_l":"0975-8887","issn":["0975-8887"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core"],"host_organization":"https://openalex.org/P4322545532","host_organization_name":"Foundation of Computer Science","host_organization_lineage":["https://openalex.org/P4322545532"],"host_organization_lineage_names":["Foundation of Computer Science"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Applications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.5120/ijca2015906236","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006054233","display_name":"Geeta Hanji","orcid":"https://orcid.org/0000-0001-8763-7802","observed_orcids":["https://orcid.org/0000-0001-8763-7802"]},"institutions":[{"id":"https://openalex.org/I201958307","display_name":"Gulbarga University","ror":"https://ror.org/02jagkr09","country_code":"IN","type":"education","lineage":["https://openalex.org/I201958307"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Geeta Hanji","raw_affiliation_strings":["Student PDACE, Gulbarga, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Student PDACE, Gulbarga, India","institution_ids":["https://openalex.org/I201958307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097427181","display_name":"C. Basaveshwari","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I201958307","display_name":"Gulbarga University","ror":"https://ror.org/02jagkr09","country_code":"IN","type":"education","lineage":["https://openalex.org/I201958307"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Basaveshwari C.","raw_affiliation_strings":["Student PDACE, Gulbarga, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Student PDACE, Gulbarga, India","institution_ids":["https://openalex.org/I201958307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067113472","display_name":"Mrityunjaya V. Latte","orcid":"https://orcid.org/0000-0002-9624-0556","observed_orcids":["https://orcid.org/0000-0002-9624-0556"]},"institutions":[{"id":"https://openalex.org/I201958307","display_name":"Gulbarga University","ror":"https://ror.org/02jagkr09","country_code":"IN","type":"education","lineage":["https://openalex.org/I201958307"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M.V. Latte","raw_affiliation_strings":["Principal JSSAT , Bangalore , India","Student PDACE, Gulbarga, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Principal JSSAT , Bangalore , India","institution_ids":[]},{"raw_affiliation_string":"Student PDACE, Gulbarga, India","institution_ids":["https://openalex.org/I201958307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201958307"],"apc_list":null,"apc_paid":null,"fwci":0.2006,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52820092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":"125","issue":"15","first_page":"29","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T11019","display_name":"Image Enhancement Techniques","score":0.00039999998989515007,"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":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-denoising","display_name":"image denoising","score":0.8209999799728394},{"id":"https://openalex.org/keywords/fuzzy-filters","display_name":"fuzzy filters","score":0.8040000200271606},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"impulsive noise","score":0.7369999885559082},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"salt and pepper noise","score":0.9520000219345093},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.9950000047683716},{"id":"https://openalex.org/keywords/color-images","display_name":"color images","score":0.7369999885559082},{"id":"https://openalex.org/keywords/image-preprocessing","display_name":"image preprocessing","score":0.6690000295639038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8604931831359863},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5434366464614868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5069692134857178},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4922281801700592},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4827384352684021},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.4229724407196045},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.20694616436958313},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11981201171875}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5120/ijca2015906236","doi":"https://doi.org/10.5120/ijca2015906236","is_oa":true,"landing_page_url":"https://doi.org/10.5120/ijca2015906236","pdf_url":"https://doi.org/10.5120/ijca2015906236","source":{"id":"https://openalex.org/S4210206007","display_name":"International Journal of Computer Applications","issn_l":"0975-8887","issn":["0975-8887"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core"],"host_organization":"https://openalex.org/P4322545532","host_organization_name":"Foundation of Computer Science","host_organization_lineage":["https://openalex.org/P4322545532"],"host_organization_lineage_names":["Foundation of Computer Science"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Applications","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.695.9131","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.695.9131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ijcaonline.org/research/volume125/number15/hanji-2015-ijca-906236.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.5120/ijca2015906236","doi":"https://doi.org/10.5120/ijca2015906236","is_oa":true,"landing_page_url":"https://doi.org/10.5120/ijca2015906236","pdf_url":"https://doi.org/10.5120/ijca2015906236","source":{"id":"https://openalex.org/S4210206007","display_name":"International Journal of Computer Applications","issn_l":"0975-8887","issn":["0975-8887"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core"],"host_organization":"https://openalex.org/P4322545532","host_organization_name":"Foundation of Computer Science","host_organization_lineage":["https://openalex.org/P4322545532"],"host_organization_lineage_names":["Foundation of Computer Science"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1932003244.pdf","grobid_xml":"https://content.openalex.org/works/W1932003244.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1520499060","https://openalex.org/W1605432954","https://openalex.org/W1909997678","https://openalex.org/W1989175590","https://openalex.org/W2007406620","https://openalex.org/W2094478269","https://openalex.org/W2115098037","https://openalex.org/W2319794630","https://openalex.org/W2417385130","https://openalex.org/W3023411394"],"related_works":["https://openalex.org/W7099164081","https://openalex.org/W1481234342","https://openalex.org/W2097255553","https://openalex.org/W2292441401","https://openalex.org/W7095678186","https://openalex.org/W2112764531","https://openalex.org/W3188147733","https://openalex.org/W3212866383","https://openalex.org/W7099656736","https://openalex.org/W1694702476"],"abstract_inverted_index":{"Images":[0],"are":[1,10,65,141,155,185,329,353],"rich":[2],"information":[3],"carriers":[4],"and":[5,15,46,74,84,96,106,109,127,135,162,174,192,204,210,227,230,238,243,257,288,302,313,325,345,349],"(such":[6],"as":[7,42,63,104],"medical":[8],"images)":[9],"normally":[11],"contaminated":[12],"by":[13],"additive":[14,85],"substitutive":[16,72],"noise":[17,77,82,87,92,94,240,256,300,308,342],"which":[18],"makes":[19],"the":[20,31,69,99,111,115,159,221,234,265,269,290,318,326,332],"extraction":[21],"of":[22,61,67,71,78,88,117,158,188,223,236,255,272,292,334],"features":[23],"(and":[24],"clinical":[25],"data":[26],"analysis)":[27],"difficult.Hence":[28],"to":[29,35,80,90,97,182,252,258,263,306,316,341],"enhance":[30],"image":[32,38,130],"quality":[33],"prior":[34],"post":[36],"processing,":[37],"pre-processing":[39],"operations":[40],"such":[41,103],"de-noising":[43],"with":[44,190,200,311,331],"linear":[45,148,205],"non-linear":[47],"filters":[48,131,140,154,209,232],"have":[49,56,247],"been":[50,57,248],"applied":[51],"traditionally.Recently":[52],"nonlinear":[53,123,139,151,172,201,225],"filtering":[54,165],"techniques":[55],"assumed":[58],"a":[59,293,320],"lot":[60],"significance":[62],"they":[64],"capable":[66,187],"suppressing":[68],"effects":[70],"(salt":[73],"pepper":[75],"impulsive":[76],"low":[79,89,251],"high":[81,253],"levels)":[83,93],"(Gaussian":[86],"medium":[91],"types":[95],"preserve":[98],"important":[100],"signal/image":[101],"details":[102,108],"edges":[105],"fine":[107],"suppress":[110],"degradations":[112],"occurring":[113],"at":[114,212],"time":[116],"image/signal":[118],"formation":[119],"or":[120],"transmission":[121],"through":[122],"channels,":[124],"during":[125],"storage":[126],"retrieval.Broadly":[128],"speaking,":[129],"exist":[132],"in":[133,196,309],"transform":[134],"spatial":[136],"domains.Spatial":[137],"domain":[138,150],"more":[142],"versatile":[143],"than":[144],"their":[145,304],"counterparts,":[146],"namely":[147],"filters.Spatial":[149],"fuzzy":[152,177,208,228,274,284,297],"classical":[153,160,171,224,273],"simply":[156],"modification/extension":[157],"median":[161,202,226,229,275,286],"moving":[163],"average":[164,206,231],"approaches,":[166],"offer":[167],"several":[168],"advantages":[169],"over":[170],"filters,":[173],"using":[175],"simple":[176],"rules":[178],"it":[179],"is":[180,323],"easy":[181],"realize":[183],"them.They":[184],"also":[186],"reasoning":[189],"vague":[191],"uncertain":[193],"information.Work":[194],"presented":[195],"this":[197],"paper":[198],"deals":[199],"based":[203,207,283],"aims":[211],"fulfilling":[213],"three":[214],"objectives,":[215],"viz;":[216],"(i)":[217],"To":[218],"systematically":[219],"study":[220,322],"performance":[222],"for":[233,299],"removal":[235],"impulse":[237,281,314],"Gaussian":[239],"from":[241,250],"gray":[242],"color":[244],"images":[245,310],"that":[246],"corrupted":[249],"values":[254],"present":[259],"an":[260,280],"experimental":[261],"review":[262],"identify":[264],"best":[266],"algorithm":[267],"within":[268],"frame":[270],"work":[271,319],"filters.(ii)To":[276],"propose":[277],":":[278],"(a)":[279],"classifier":[282],"switching":[285],"filter":[287,298],"(b)":[289],"design":[291],"multi":[294],"pass":[295],"cascaded":[296],"cancellation,":[301],"explore":[303],"applications":[305],"reduce":[307],"random":[312],"characteristics.Finally":[315],"conclude":[317],"comparative":[321],"done":[324],"computational":[327],"aspects":[328],"analyzed":[330],"help":[333],"mean":[335],"square":[336],"error":[337],"(MSE),":[338],"peak":[339],"signal":[340],"ratio":[343],"(PSNR),":[344],"2D":[346],"correlation":[347],"(COR)":[348],"some":[350],"future":[351],"solutions":[352],"proposed.":[354]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}