{"id":"https://openalex.org/W3015245338","doi":"https://doi.org/10.1109/icassp40776.2020.9053027","title":"Joint Enhancement And Denoising of Low Light Images Via JND Transform","display_name":"Joint Enhancement And Denoising of Low Light Images Via JND Transform","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015245338","doi":"https://doi.org/10.1109/icassp40776.2020.9053027","mag":"3015245338"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5057774088","display_name":"Long Yu","orcid":"https://orcid.org/0000-0002-9038-4129"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Long Yu","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089049162","display_name":"Haonan Su","orcid":"https://orcid.org/0000-0002-5481-1082"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haonan Su","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003623628","display_name":"Cheolkon Jung","orcid":"https://orcid.org/0000-0003-0299-7206"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheolkon Jung","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057774088"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.3908,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60257444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"2658","last_page":"2662"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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":0.9994999766349792,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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/luminance","display_name":"Luminance","score":0.7340818643569946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7199835181236267},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7104249000549316},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6224138140678406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5843915939331055},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.5643871426582336},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.55135577917099},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5098502039909363},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.4818623960018158},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.4800630509853363},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.46237513422966003},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4182262718677521},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.41283226013183594},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34148406982421875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3356776535511017},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22958195209503174}],"concepts":[{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.7340818643569946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7199835181236267},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7104249000549316},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6224138140678406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5843915939331055},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.5643871426582336},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.55135577917099},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5098502039909363},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.4818623960018158},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.4800630509853363},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.46237513422966003},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4182262718677521},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.41283226013183594},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34148406982421875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3356776535511017},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22958195209503174},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1600176996","https://openalex.org/W1826996858","https://openalex.org/W1977725648","https://openalex.org/W1995194116","https://openalex.org/W1998156127","https://openalex.org/W2016622085","https://openalex.org/W2037012979","https://openalex.org/W2041404167","https://openalex.org/W2047710600","https://openalex.org/W2052010916","https://openalex.org/W2059971553","https://openalex.org/W2068836533","https://openalex.org/W2081418963","https://openalex.org/W2097073572","https://openalex.org/W2100115174","https://openalex.org/W2104350111","https://openalex.org/W2109952872","https://openalex.org/W2118002060","https://openalex.org/W2125188192","https://openalex.org/W2128391927","https://openalex.org/W2146870294","https://openalex.org/W2153663612","https://openalex.org/W2296548841","https://openalex.org/W2403530391","https://openalex.org/W2430806359","https://openalex.org/W2566376500","https://openalex.org/W2589708543","https://openalex.org/W2601040106","https://openalex.org/W2764975447","https://openalex.org/W2782761915","https://openalex.org/W2799265886","https://openalex.org/W2978725006","https://openalex.org/W4212783130","https://openalex.org/W4241191626","https://openalex.org/W6635680467","https://openalex.org/W6649237116"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2525745698","https://openalex.org/W2010724756","https://openalex.org/W2152030049","https://openalex.org/W2564543331","https://openalex.org/W2410869481","https://openalex.org/W2466475649","https://openalex.org/W2371190228","https://openalex.org/W2940624547","https://openalex.org/W1967888462"],"abstract_inverted_index":{"Low":[0],"light":[1,28],"images":[2,29],"suffer":[3],"from":[4,76],"low":[5,13,27],"dynamic":[6,60],"range":[7,61],"and":[8,24,38,78,92,117,158],"severe":[9],"noise":[10,39,112,159],"due":[11],"to":[12,56,137],"signal-to-noise":[14],"ratio":[15],"(SNR).":[16],"In":[17],"this":[18],"paper,":[19],"we":[20,48,66,85,124],"propose":[21],"joint":[22],"enhancement":[23,37,51,119,157],"denoising":[25,127],"of":[26,132],"via":[30],"just-noticeable-difference":[31],"(JND)":[32],"transform.":[33,83],"We":[34],"achieve":[35],"contrast":[36,50,156],"reduction":[40,160],"simultaneously":[41],"based":[42,52,70,101],"on":[43,53,71,102],"human":[44],"visual":[45,93,109],"perception.":[46],"First,":[47],"perform":[49],"perceptual":[54],"histogram":[55],"effectively":[57],"allocate":[58],"a":[59],"while":[62,108,161],"preventing":[63],"over-enhancement.":[64],"Second,":[65],"generate":[67],"JND":[68,82,87,99],"map":[69,88,100],"an":[72],"HVS":[73],"response":[74],"model":[75],"foreground":[77],"background":[79],"luminance,":[80],"called":[81],"Then,":[84],"refine":[86],"using":[89],"Weber's":[90,95],"law":[91,96],"masking.":[94],"enhances":[97],"the":[98,103,133,138,149],"luminance":[104],"variation":[105],"after":[106],"enhancement,":[107],"masking":[110],"provides":[111],"suppression":[113],"for":[114,120],"smooth":[115],"regions":[116],"detail":[118],"texture":[121,130],"regions.":[122],"Finally,":[123],"conduct":[125],"chroma":[126,139],"that":[128,148],"transfers":[129],"information":[131],"denoised":[134],"luma":[135],"channel":[136],"channels":[140],"by":[141],"guided":[142],"image":[143],"filtering.":[144],"Experimental":[145],"results":[146],"show":[147],"proposed":[150],"method":[151],"achieves":[152],"good":[153],"performance":[154],"in":[155],"successfully":[162],"preserving":[163],"details.":[164]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
