{"id":"https://openalex.org/W4416677123","doi":"https://doi.org/10.1109/sbr/wre66973.2025.11249617","title":"ALLIE: Autoencoder-based Low-Light Image Enhancement","display_name":"ALLIE: Autoencoder-based Low-Light Image Enhancement","publication_year":2025,"publication_date":"2025-10-13","ids":{"openalex":"https://openalex.org/W4416677123","doi":"https://doi.org/10.1109/sbr/wre66973.2025.11249617"},"language":null,"primary_location":{"id":"doi:10.1109/sbr/wre66973.2025.11249617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbr/wre66973.2025.11249617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Brazilian Symposium on Robotics (SBR) and 2025 Workshop on Robotics in Education (WRE)","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":null,"display_name":"Gabrielly F. Rodrigues","orcid":null},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gabrielly F. Rodrigues","raw_affiliation_strings":["Institute of Computing (ICOMP) Univ. Federal do Amazonas (UFAM) Manaus,Amazonas,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing (ICOMP) Univ. Federal do Amazonas (UFAM) Manaus,Amazonas,Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093929683","display_name":"Jo\u00e3o M. B. Calvalcanti","orcid":null},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o M. B. Calvalcanti","raw_affiliation_strings":["Institute of Computing (ICOMP) Univ. Federal do Amazonas (UFAM) Manaus,Amazonas,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing (ICOMP) Univ. Federal do Amazonas (UFAM) Manaus,Amazonas,Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061934894","display_name":"Jos\u00e9 L. S. Pio","orcid":null},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 L. S. Pio","raw_affiliation_strings":["Institute of Computing (ICOMP) Univ. Federal do Amazonas (UFAM) Manaus,Amazonas,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing (ICOMP) Univ. Federal do Amazonas (UFAM) Manaus,Amazonas,Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033565167","display_name":"Felipe Gomes de Oliveira","orcid":"https://orcid.org/0000-0002-0255-3536"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Felipe G. Oliveira","raw_affiliation_strings":["Inst. of Exact Sciences and Tech. (ICET) Univ. Federal do Amazonas (UFAM) Itacoatiara,Amazonas,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inst. of Exact Sciences and Tech. (ICET) Univ. Federal do Amazonas (UFAM) Itacoatiara,Amazonas,Brazil","institution_ids":["https://openalex.org/I62885914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32015322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.8756999969482422,"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":0.8756999969482422,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.01720000058412552,"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":0.015300000086426735,"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/noise","display_name":"Noise (video)","score":0.4982999861240387},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4691999852657318},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4374000132083893},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.42660000920295715},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.41780000925064087},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40459999442100525},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.40130001306533813},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.3695000112056732}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8027999997138977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6614000201225281},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6212999820709229},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4982999861240387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4691999852657318},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4374000132083893},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.42660000920295715},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.41780000925064087},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40459999442100525},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.40130001306533813},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3695000112056732},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.36070001125335693},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31619998812675476},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C2987933465","wikidata":"https://www.wikidata.org/wiki/Q141130","display_name":"Image manipulation","level":3,"score":0.2567000091075897},{"id":"https://openalex.org/C3018181011","wikidata":"https://www.wikidata.org/wiki/Q6849688","display_name":"Contrast enhancement","level":3,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sbr/wre66973.2025.11249617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbr/wre66973.2025.11249617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Brazilian Symposium on Robotics (SBR) and 2025 Workshop on Robotics in Education (WRE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8172912036","display_name":null,"funder_award_id":"01.24.0661","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G8255183529","display_name":null,"funder_award_id":"409109/2021-5,445111/2024-0","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2783573276","https://openalex.org/W2946969642","https://openalex.org/W2948354154","https://openalex.org/W2998723654","https://openalex.org/W3034539499","https://openalex.org/W3035229960","https://openalex.org/W3088065502","https://openalex.org/W3125869362","https://openalex.org/W3171125843","https://openalex.org/W3199334903","https://openalex.org/W4312560884","https://openalex.org/W4312725970","https://openalex.org/W4312812783","https://openalex.org/W4313059954","https://openalex.org/W4313484906","https://openalex.org/W4390872095","https://openalex.org/W4390872514","https://openalex.org/W4391822178","https://openalex.org/W4402595405","https://openalex.org/W4408146347","https://openalex.org/W4408146496","https://openalex.org/W4412129510"],"related_works":[],"abstract_inverted_index":{"Operating":[0],"in":[1,65,124,171],"low-light":[2,66],"environments":[3],"remains":[4],"one":[5],"of":[6,76],"the":[7,32,40,114,118],"most":[8],"critical":[9],"challenges":[10],"for":[11,61,168],"autonomous":[12],"robotic":[13],"systems.":[14],"Under":[15],"such":[16,134],"conditions,":[17],"image":[18,102,122],"quality":[19,132],"is":[20],"often":[21],"compromised":[22],"by":[23,99],"noise,":[24],"reduced":[25],"detail,":[26],"and":[27,37,128,137,145,156,173],"low":[28],"visibility,":[29],"severely":[30],"limiting":[31],"system's":[33],"ability":[34],"to":[35,92,139],"perceive":[36],"interact":[38],"with":[39,161],"environment.":[41],"In":[42],"this":[43],"work,":[44],"we":[45],"propose":[46],"ALLIE,":[47],"an":[48,56],"innovative":[49],"deep":[50],"neural":[51],"network":[52,90],"model":[53],"based":[54],"on":[55,73,117],"Autoencoder":[57],"architecture,":[58],"designed":[59],"specifically":[60],"enhancing":[62],"images":[63,95,144,160],"taken":[64],"conditions.":[67],"Unlike":[68],"traditional":[69],"methods":[70],"that":[71,104,152],"rely":[72],"manual":[74],"adjustment":[75],"brightness,":[77],"contrast,":[78],"or":[79],"noise":[80],"filtering,":[81],"ALLIE":[82,153],"performs":[83],"enhancement":[84],"automatically":[85],"through":[86],"end-to-end":[87],"learning.":[88],"The":[89],"learns":[91],"transform":[93],"dark":[94],"into":[96],"well-exposed":[97],"versions":[98,126],"capturing":[100],"complex":[101],"representations":[103],"improve":[105],"clarity":[106],"while":[107],"preserving":[108],"important":[109],"scene":[110],"details.":[111],"We":[112],"evaluated":[113],"proposed":[115],"method":[116],"paired":[119],"Low-Light":[120],"(LOL)":[121],"dataset,":[123],"both":[125],"v1":[127],"v2,":[129],"using":[130],"reference-based":[131],"metrics":[133],"as":[135],"PSNR":[136],"SSIM":[138],"quantify":[140],"fidelity":[141],"between":[142],"enhanced":[143],"their":[146],"corresponding":[147],"groundtruths.":[148],"Experimental":[149],"results":[150],"demonstrate":[151],"outperforms":[154],"conventional":[155],"state-of-the-art":[157],"approaches,":[158],"producing":[159],"superior":[162],"visual":[163],"quality,":[164],"which":[165],"are":[166],"suitable":[167],"diverse":[169],"applications":[170],"robotics":[172],"computer":[174],"vision.":[175]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-25T00:00:00"}