{"id":"https://openalex.org/W1942378940","doi":"https://doi.org/10.1186/s13640-015-0082-5","title":"Bilateral image denoising in the Laplacian subbands","display_name":"Bilateral image denoising in the Laplacian subbands","publication_year":2015,"publication_date":"2015-08-05","ids":{"openalex":"https://openalex.org/W1942378940","doi":"https://doi.org/10.1186/s13640-015-0082-5","mag":"1942378940"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-015-0082-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-015-0082-5","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-015-0082-5","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-015-0082-5","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026240977","display_name":"Bora Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bora Jin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, INMC, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul, 151-742, Korea","Dept. of Electrical and Computer Engineering, INMC Seoul National University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, INMC, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul, 151-742, Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, INMC Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020329670","display_name":"Su Jeong You","orcid":null},"institutions":[{"id":"https://openalex.org/I89004649","display_name":"Korea Institute of Industrial Technology","ror":"https://ror.org/04qfph657","country_code":"KR","type":"other","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I89004649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Su Jeong You","raw_affiliation_strings":["Robot R&D Group, Korea Institute of Industrial Technology, 143 Hanggaulro, Sangrok-gu, Ansan-si Gyeongni-do, 426-910, Korea","Robot R&D Group, Korea Institute of Industrial Technology, Ansan-si Gyeongni-do, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robot R&D Group, Korea Institute of Industrial Technology, 143 Hanggaulro, Sangrok-gu, Ansan-si Gyeongni-do, 426-910, Korea","institution_ids":["https://openalex.org/I89004649"]},{"raw_affiliation_string":"Robot R&D Group, Korea Institute of Industrial Technology, Ansan-si Gyeongni-do, Korea","institution_ids":["https://openalex.org/I89004649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055171648","display_name":"Nam Ik Cho","orcid":"https://orcid.org/0000-0001-5297-4649"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Nam Ik Cho","raw_affiliation_strings":["Department of Electrical and Computer Engineering, INMC, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul, 151-742, Korea","Dept. of Electrical and Computer Engineering, INMC Seoul National University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, INMC, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul, 151-742, Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, INMC Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055171648"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.5616,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74227109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2015","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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":0.9986000061035156,"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/sharpening","display_name":"Sharpening","score":0.777133047580719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7419813871383667},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6017208695411682},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5379270911216736},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5343358516693115},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5267707109451294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5021421909332275},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.4510558843612671},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.44512104988098145},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4355200529098511},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.43369218707084656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40730002522468567},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.1822715401649475}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.777133047580719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7419813871383667},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6017208695411682},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5379270911216736},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5343358516693115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5267707109451294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5021421909332275},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.4510558843612671},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.44512104988098145},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4355200529098511},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.43369218707084656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40730002522468567},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.1822715401649475},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/s13640-015-0082-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-015-0082-5","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-015-0082-5","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/s13640-015-0082-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-015-0082-5","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-015-0082-5","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G2302017054","display_name":null,"funder_award_id":"NIPA-2014-H0301-14-1019","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"}],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322065","display_name":"National IT Industry Promotion Agency","ror":"https://ror.org/026v53e29"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1942378940.pdf","grobid_xml":"https://content.openalex.org/works/W1942378940.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1993465480","https://openalex.org/W1995194116","https://openalex.org/W1998419211","https://openalex.org/W2008357395","https://openalex.org/W2056370875","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2100925004","https://openalex.org/W2110158442","https://openalex.org/W2113350594","https://openalex.org/W2113945798","https://openalex.org/W2125188192","https://openalex.org/W2145367339","https://openalex.org/W3138063419"],"related_works":["https://openalex.org/W2070009059","https://openalex.org/W233850645","https://openalex.org/W1998728244","https://openalex.org/W2082304850","https://openalex.org/W2761243560","https://openalex.org/W2511423457","https://openalex.org/W2536791468","https://openalex.org/W2378657331","https://openalex.org/W3091872625","https://openalex.org/W2751999794"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"presents":[3],"an":[4,47,87],"image":[5,48,62,83,106,174,184],"denoising":[6,156,168],"algorithm,":[7],"which":[8,74,121],"applies":[9],"bilateral":[10],"filtering":[11],"(BLF)":[12],"in":[13,179],"the":[14,21,31,41,44,59,66,70,76,80,94,116,123,131,137,144,154,162,171,182,197,200],"Laplacian":[15,77],"subbands.":[16,78],"It":[17],"is":[18,49,63,91,107,175,189],"noted":[19],"that":[20,90,153],"subband":[22,101],"images":[23],"have":[24,69],"wider":[25],"area":[26],"of":[27,100,199],"photometric":[28,98],"similarity":[29,99],"than":[30,43,161],"original,":[32],"and":[33,58,97,112,165],"hence,":[34],"they":[35],"can":[36],"be":[37],"more":[38,192],"benefited":[39],"by":[40,136,185],"BLF":[42,164],"original.":[45],"Specifically,":[46],"Gaussian":[50],"filtered":[51],"to":[52,68,115,129],"obtain":[53],"a":[54],"low":[55,60,118],"band":[56,61,72,82,105,119,134,173,187],"image,":[57],"subtracted":[64],"from":[65],"original":[67,163],"high":[71,81,104,133,172,186],"signal,":[73,120],"forms":[75],"For":[79],"denoising,":[84],"we":[85],"derive":[86],"adaptive":[88],"kernel":[89,111],"dependent":[92],"on":[93],"edge":[95],"intensity":[96],"images.":[102],"The":[103],"convolved":[108],"with":[109,146,196],"this":[110,180],"then":[113],"added":[114],"denoised":[117,124,132,178],"produces":[122],"image.":[125],"We":[126],"also":[127,176,190],"propose":[128],"process":[130],"signal":[135],"gradient":[138],"histogram":[139],"preservation":[140],"method,":[141],"for":[142],"sharpening":[143,202],"edges":[145],"less":[147],"noise":[148],"amplification.":[149],"Experimental":[150],"results":[151,198],"show":[152],"proposed":[155],"method":[157],"provides":[158],"higher":[159],"PSNR":[160],"other":[166],"multi-resolution":[167],"algorithms.":[169],"Since":[170],"effectively":[177],"process,":[181],"sharpened":[183],"modification":[188],"visually":[191],"pleasing":[193],"when":[194],"compared":[195],"conventional":[201],"methods.":[203]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}