{"id":"https://openalex.org/W2951876139","doi":"https://doi.org/10.1109/ncc.2019.8732250","title":"Saliency Guided Image Detail Enhancement","display_name":"Saliency Guided Image Detail Enhancement","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2951876139","doi":"https://doi.org/10.1109/ncc.2019.8732250","mag":"2951876139"},"language":"en","primary_location":{"id":"doi:10.1109/ncc.2019.8732250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2019.8732250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 National Conference on Communications (NCC)","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/A5080914177","display_name":"Sanjay Ghosh","orcid":"https://orcid.org/0000-0002-0474-5072"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sanjay Ghosh","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062644223","display_name":"Ruturaj G. Gavaskar","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ruturaj G. Gavaskar","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045035201","display_name":"Kunal N. Chaudhury","orcid":"https://orcid.org/0000-0002-8136-605X"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kunal N. Chaudhury","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080914177"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":1.5333,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.86411578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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"}},{"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9991999864578247,"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/smoothing","display_name":"Smoothing","score":0.7815510034561157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7205073237419128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7094112634658813},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.6959841251373291},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6636652946472168},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5678092837333679},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5454831719398499},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5363740921020508},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5331363677978516},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49771836400032043},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.4815447926521301},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4665047526359558},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.44643744826316833},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.41452154517173767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35944998264312744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15993055701255798},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07938989996910095}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7815510034561157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7205073237419128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7094112634658813},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.6959841251373291},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6636652946472168},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5678092837333679},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5454831719398499},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5363740921020508},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5331363677978516},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49771836400032043},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.4815447926521301},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4665047526359558},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.44643744826316833},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.41452154517173767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35944998264312744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15993055701255798},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07938989996910095},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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":2,"locations":[{"id":"doi:10.1109/ncc.2019.8732250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2019.8732250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 National Conference on Communications (NCC)","raw_type":"proceedings-article"},{"id":"pmh:oai::78067","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401429","display_name":"ePrints@IISc (Indian Institute of Science)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1872412942","https://openalex.org/W1960693213","https://openalex.org/W1982075130","https://openalex.org/W2005047539","https://openalex.org/W2024052501","https://openalex.org/W2027451748","https://openalex.org/W2037954058","https://openalex.org/W2040568291","https://openalex.org/W2041719651","https://openalex.org/W2043331342","https://openalex.org/W2048801036","https://openalex.org/W2060196876","https://openalex.org/W2061052400","https://openalex.org/W2063655852","https://openalex.org/W2087509227","https://openalex.org/W2099244020","https://openalex.org/W2100470808","https://openalex.org/W2102166818","https://openalex.org/W2122076510","https://openalex.org/W2125188192","https://openalex.org/W2126290068","https://openalex.org/W2141957843","https://openalex.org/W2145367339","https://openalex.org/W2156053375","https://openalex.org/W2162618331","https://openalex.org/W2163370434","https://openalex.org/W2164716063","https://openalex.org/W2192252034","https://openalex.org/W2323509952","https://openalex.org/W2561701092","https://openalex.org/W2729969528","https://openalex.org/W2891878684","https://openalex.org/W2996868574","https://openalex.org/W3099892526","https://openalex.org/W3138446083","https://openalex.org/W3171930565","https://openalex.org/W6731144265"],"related_works":["https://openalex.org/W2348393203","https://openalex.org/W2978930127","https://openalex.org/W2888823469","https://openalex.org/W2133373206","https://openalex.org/W2412212709","https://openalex.org/W2792913108","https://openalex.org/W3048253530","https://openalex.org/W2105187740","https://openalex.org/W2348899410","https://openalex.org/W2255573589"],"abstract_inverted_index":{"The":[0,79,90,113],"use":[1,96],"of":[2,8,21,26,44,109,115],"visual":[3,121],"saliency":[4,98],"for":[5,39],"perceptual":[6],"enhancement":[7,50],"images":[9],"has":[10],"drawn":[11],"significant":[12],"attention.":[13],"In":[14,42,123],"this":[15,40],"paper,":[16],"we":[17,30,95,157],"explore":[18],"the":[19,45,55,62,71,76,97,103,106,110,152,161],"idea":[20],"selectively":[22],"enhancing":[23],"salient":[24],"regions":[25,144],"an":[27,32,172],"image.":[28,78,154],"Moreover,":[29,155],"develop":[31],"algorithm":[33],"based":[34,47],"on":[35],"adaptive":[36],"bilateral":[37,88,111],"filtering":[38,46,162],"purpose.":[41],"most":[43],"methods,":[48],"detail":[49,60,63],"is":[51,65,81,93,118],"performed":[52,82],"by":[53],"decomposing":[54],"image":[56],"into":[57],"base":[58,72],"and":[59,67,133,136],"layers;":[61],"layer":[64,73],"amplified":[66],"added":[68],"back":[69],"to":[70,74,100,159],"obtain":[75],"enhanced":[77,153],"decomposition":[80],"using":[83,120,171],"edge-preserving":[84],"smoothing":[85,104],"such":[86],"as":[87,148],"filtering.":[89],"present":[91],"novelty":[92],"that":[94,145],"map":[99],"locally":[101],"guide":[102],"(and":[105],"enhancement)":[107],"action":[108],"filter.":[112],"effectiveness":[114],"our":[116,125,165],"proposal":[117],"demonstrated":[119],"results.":[122],"particular,":[124],"method":[126,166],"does":[127,137],"not":[128,138],"suffer":[129],"from":[130],"gradient":[131],"reversals":[132],"halo":[134],"artifacts,":[135],"amplify":[139],"fine":[140],"details":[141],"in":[142,151],"non-salient":[143],"often":[146],"appear":[147],"noise":[149],"grains":[150],"if":[156],"choose":[158],"perform":[160],"channelwise,":[163],"then":[164],"can":[167],"be":[168],"efficiently":[169],"implemented":[170],"existing":[173],"fast":[174],"algorithm.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}