{"id":"https://openalex.org/W2603011330","doi":"https://doi.org/10.1109/tip.2017.2686652","title":"GRASS: A Gradient-Based Random Sampling Scheme for Milano Retinex","display_name":"GRASS: A Gradient-Based Random Sampling Scheme for Milano Retinex","publication_year":2017,"publication_date":"2017-03-24","ids":{"openalex":"https://openalex.org/W2603011330","doi":"https://doi.org/10.1109/tip.2017.2686652","mag":"2603011330","pmid":"https://pubmed.ncbi.nlm.nih.gov/28358684"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2686652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2686652","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2434/491579","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087921260","display_name":"Michela Lecca","orcid":"https://orcid.org/0000-0001-7961-0212"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Michela Lecca","raw_affiliation_strings":["Fondazione Bruno Kessler, Center for Information and Communication Technology, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler, Center for Information and Communication Technology, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031580796","display_name":"Alessandro Rizzi","orcid":"https://orcid.org/0000-0001-6240-4383"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Rizzi","raw_affiliation_strings":["Dipartimento di Informatica, Universit\u00e0 degli Studi di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Universit\u00e0 degli Studi di Milano, Milano, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055523539","display_name":"Raul Serapioni","orcid":"https://orcid.org/0000-0002-3566-1015"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Raul Paolo Serapioni","raw_affiliation_strings":["Dipartimento di Matematica, Universit\u00e0 degli Studi di Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Matematica, Universit\u00e0 degli Studi di Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087921260"],"corresponding_institution_ids":["https://openalex.org/I2277624104"],"apc_list":null,"apc_paid":null,"fwci":1.5474,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.89823326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"26","issue":"6","first_page":"2767","last_page":"2780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11605","display_name":"Visual Attention and Saliency Detection","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"}},{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.871497631072998},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7740745544433594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7375264763832092},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.716833233833313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5999189615249634},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5464991927146912},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3933376967906952},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3838966190814972}],"concepts":[{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.871497631072998},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7740745544433594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7375264763832092},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.716833233833313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5999189615249634},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5464991927146912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3933376967906952},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3838966190814972},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2017.2686652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2686652","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:28358684","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28358684","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:air.unimi.it:2434/491579","is_oa":true,"landing_page_url":"http://hdl.handle.net/2434/491579","pdf_url":null,"source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.unitn.it:11572/174500","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/174500","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:air.unimi.it:2434/491579","is_oa":true,"landing_page_url":"http://hdl.handle.net/2434/491579","pdf_url":null,"source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322253","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W139192136","https://openalex.org/W1423701254","https://openalex.org/W1771947260","https://openalex.org/W1976039277","https://openalex.org/W1986462898","https://openalex.org/W2012146899","https://openalex.org/W2015633562","https://openalex.org/W2051406557","https://openalex.org/W2074118556","https://openalex.org/W2080700802","https://openalex.org/W2121579674","https://openalex.org/W2135189510","https://openalex.org/W2152711137","https://openalex.org/W2161341776","https://openalex.org/W2164847484","https://openalex.org/W2168604797","https://openalex.org/W2207913422","https://openalex.org/W2282238360","https://openalex.org/W2298770314","https://openalex.org/W2322164475","https://openalex.org/W2405554011","https://openalex.org/W2466707618","https://openalex.org/W2486303527","https://openalex.org/W2565661604","https://openalex.org/W2688596428","https://openalex.org/W4206384366","https://openalex.org/W6683538900","https://openalex.org/W6713463715"],"related_works":["https://openalex.org/W2982638676","https://openalex.org/W4237735386","https://openalex.org/W2622554317","https://openalex.org/W2006198159","https://openalex.org/W1603973577","https://openalex.org/W2159871081","https://openalex.org/W2114667878","https://openalex.org/W2082294883","https://openalex.org/W2155138846","https://openalex.org/W2405544836"],"abstract_inverted_index":{"Retinex":[0],"is":[1,167],"an":[2,16],"early":[3],"and":[4,228],"famous":[5],"theory":[6],"attempting":[7],"to":[8,21,42,116,137],"estimate":[9],"the":[10,25,31,36,58,63,90,98,102,120,130,138,141,147,158,163,176,201,216],"human":[11],"color":[12,32,123,142,177],"sensation":[13,33],"derived":[14],"from":[15,48,199],"observed":[17],"scene.":[18],"When":[19],"applied":[20],"a":[22,43,49,82,126,184,191,208,225,229],"digital":[23],"image,":[24],"original":[26],"implementation":[27],"of":[28,51,57,97,122,132,140,149],"retinex":[29,71],"estimates":[30],"by":[34],"modifying":[35],"pixels":[37,107,150,173],"channel":[38],"intensities":[39],"with":[40,108,151],"respect":[41],"local":[44,59,94],"reference":[45,60],"white,":[46],"selected":[47],"set":[50],"random":[52],"paths.":[53],"The":[54,66],"spatial":[55],"search":[56],"white":[61],"influences":[62],"final":[64],"estimation.":[65],"recent":[67],"algorithm":[68],"energy-driven":[69],"termite":[70,78],"(ETR),":[72],"as":[73,75,224],"well":[74],"its":[76,179],"predecessor":[77],"retinex,":[79],"has":[80,207],"introduced":[81],"new":[83,217],"path-based":[84,226],"image":[85,133,160,172,202],"aware":[86,203],"sampling":[87,127,165,204,218],"scheme,":[88],"where":[89],"paths":[91,104],"depend":[92],"on":[93],"visual":[95],"properties":[96],"input":[99],"image.":[100],"Precisely,":[101],"ETR":[103,164,200],"transit":[105],"over":[106],"high":[109],"gradient":[110],"magnitude":[111],"that":[112,197],"have":[113],"been":[114],"proved":[115],"be":[117,183,221],"important":[118],"for":[119,175],"formation":[121],"sensation.":[124],"Such":[125],"method":[128],"enables":[129],"visit":[131],"portions":[134],"effectively":[135],"relevant":[136],"estimation":[139],"sensation,":[143,178],"while":[144,212],"it":[145],"reduces":[146],"analysis":[148],"less":[152],"essential":[153],"and/or":[154],"redundant":[155],"data,":[156],"i.e.,":[157],"flat":[159],"regions.":[161],"While":[162],"scheme":[166,219],"very":[168],"efficacious":[169],"in":[170],"detecting":[171],"salient":[174],"computational":[180,210],"complexity":[181],"can":[182,220],"limit.":[185],"In":[186],"this":[187],"paper,":[188],"we":[189],"present":[190],"novel":[192],"Gradient-based":[193],"RAndom":[194],"Sampling":[195],"Scheme":[196],"inherits":[198],"principles,":[205],"but":[206],"lower":[209],"complexity,":[211],"similar":[213],"performance.":[214],"Moreover,":[215],"interpreted":[222],"both":[223],"scanning":[227],"2D":[230],"sampling.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
