{"id":"https://openalex.org/W2992670780","doi":"https://doi.org/10.1109/have.2019.8921188","title":"GMSD-based Perceptually Motivated Non-local Means Filter for Image Denoising","display_name":"GMSD-based Perceptually Motivated Non-local Means Filter for Image Denoising","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2992670780","doi":"https://doi.org/10.1109/have.2019.8921188","mag":"2992670780"},"language":"en","primary_location":{"id":"doi:10.1109/have.2019.8921188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/have.2019.8921188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Haptic, Audio and Visual Environments and Games (HAVE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010933167","display_name":"Mohtashim Baqar","orcid":null},"institutions":[{"id":"https://openalex.org/I84339108","display_name":"Sunway University","ror":"https://ror.org/04mjt7f73","country_code":"MY","type":"education","lineage":["https://openalex.org/I84339108"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohtashim Baqar","raw_affiliation_strings":["Department of Computing and Information Systems, Sunway University, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Systems, Sunway University, Malaysia","institution_ids":["https://openalex.org/I84339108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002606307","display_name":"Sian Lun Lau","orcid":"https://orcid.org/0000-0002-7709-7774"},"institutions":[{"id":"https://openalex.org/I84339108","display_name":"Sunway University","ror":"https://ror.org/04mjt7f73","country_code":"MY","type":"education","lineage":["https://openalex.org/I84339108"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sian Lun Lau","raw_affiliation_strings":["Department of Computing and Information Systems, Sunway University, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Systems, Sunway University, Malaysia","institution_ids":["https://openalex.org/I84339108"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040715682","display_name":"Mansoor Ebrahim","orcid":"https://orcid.org/0000-0002-2000-8398"},"institutions":[{"id":"https://openalex.org/I188771183","display_name":"Iqra University","ror":"https://ror.org/00thhhw55","country_code":"PK","type":"education","lineage":["https://openalex.org/I188771183"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Mansoor Ebrahim","raw_affiliation_strings":["Iqra University (Main Campus), Karachi, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iqra University (Main Campus), Karachi, Pakistan","institution_ids":["https://openalex.org/I188771183"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.15787572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9988999962806702,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9951000213623047,"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":0.7483973503112793},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7137563228607178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6518884897232056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6205207705497742},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6098570823669434},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.5750043392181396},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5721623301506042},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.4905042052268982},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4615941047668457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3624282479286194},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.07763418555259705}],"concepts":[{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.7483973503112793},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7137563228607178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6518884897232056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6205207705497742},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6098570823669434},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.5750043392181396},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5721623301506042},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.4905042052268982},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4615941047668457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3624282479286194},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.07763418555259705},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/have.2019.8921188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/have.2019.8921188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Haptic, Audio and Visual Environments and Games (HAVE)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.sunway.edu.my:1688","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400337","display_name":"Sunway Institutional Repository (Sunway University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I84339108","host_organization_name":"Sunway University","host_organization_lineage":["https://openalex.org/I84339108"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1964859077","https://openalex.org/W1992201949","https://openalex.org/W2041625018","https://openalex.org/W2097073572","https://openalex.org/W2133665775","https://openalex.org/W2136396015","https://openalex.org/W2171349048","https://openalex.org/W2897392422","https://openalex.org/W2951695341","https://openalex.org/W6755794794"],"related_works":["https://openalex.org/W1538114257","https://openalex.org/W2098237619","https://openalex.org/W2035842925","https://openalex.org/W4287081060","https://openalex.org/W3182043338","https://openalex.org/W2810018092","https://openalex.org/W2791234060","https://openalex.org/W2156242833","https://openalex.org/W2360732716","https://openalex.org/W2070967616"],"abstract_inverted_index":{"Due":[0],"to":[1,20,81,123,221],"increasing":[2],"proliferation":[3],"of":[4,31,36,88,148,197],"multimedia":[5],"signals,":[6],"specifically,":[7],"image,":[8],"video":[9],"and":[10,27,76,92,115,145,163,205],"their":[11],"applications":[12],"in":[13,39,58,86,137,195,213],"our":[14],"daily":[15],"life,":[16],"it":[17],"is":[18,98,121],"indispensable":[19],"have":[21,166,191],"methods":[22],"that":[23,168],"can":[24],"efficiently":[25],"predict":[26],"correct":[28],"visual":[29],"quality":[30,46],"images":[32,150,211],"with":[33,153,216,225],"high":[34,214],"measures":[35],"accuracy.":[37],"Therefore,":[38],"this":[40],"work":[41],"a":[42,59,186],"state-of-the-art":[43],"(STOA)":[44],"image":[45,68,175],"assessment":[47,162],"(IQA)":[48],"metric,":[49],"gradient":[50],"magnitude":[51],"similarity":[52,203],"deviation":[53],"(GMSD)":[54],"has":[55],"been":[56],"incorporated":[57],"STOA":[60],"least-square-based":[61,164],"non-local":[62],"means":[63],"(NLM)":[64],"filtering":[65],"framework":[66],"for":[67,108],"denoising.":[69],"The":[70,95,208],"denoising":[71],"process":[72,97,126],"works":[73],"by":[74],"estimating":[75],"weighting":[77,125],"neighbouring":[78],"patches":[79],"similar":[80],"the":[82,109,118,124,128,132,139,169,178,217,222],"patch":[83,112,120,140],"being":[84],"denoised":[85,149,174,210],"terms":[87,196],"Euclidean":[89],"distance":[90],"(ED)":[91],"GMSD":[93,206],"coefficient.":[94],"overall":[96],"broken":[99],"down":[100],"into":[101],"two":[102],"steps;":[103],"initially,":[104],"local":[105],"noise":[106],"estimates":[107,176],"underlying":[110],"noisy":[111],"are":[113],"approximated":[114],"removed,":[116],"then":[117],"refined":[119],"fed":[122],"as":[127,151],"final":[129],"step.":[130],"Further,":[131],"proposed":[133,170],"methodology":[134],"also":[135],"helps":[136],"mitigating":[138],"jittering":[141],"blur":[142],"effect":[143],"(PJBE)":[144],"over":[146],"smoothing":[147],"observed":[152],"conventional":[154,179,226],"NLM":[155,180,227],"algorithm.":[156,181,228],"Experimental":[157],"evaluations":[158],"based":[159],"on":[160,185],"visual-quality":[161],"metrics":[165],"shown":[167,192],"algorithm":[171],"yields":[172],"better":[173],"than":[177],"Moreover,":[182],"experiments":[183],"conducted":[184],"subjective":[187,218],"database,":[188],"i.e.":[189],"CSIQ,":[190],"higher":[193],"performance":[194],"peak":[198],"signal-to-noise":[199],"ratio":[200],"(PSNR),":[201],"structural":[202],"(SSIM)":[204],"coefficients.":[207],"resultant":[209],"were":[212],"correlation":[215],"judgements":[219],"compared":[220],"ones":[223],"obtained":[224]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
