000132231 001__ 132231 000132231 005__ 20241220120715.0 000132231 0247_ $$2doi$$a10.1111/exsy.13559 000132231 0248_ $$2sideral$$a137483 000132231 037__ $$aART-2025-137483 000132231 041__ $$aeng 000132231 100__ $$aVélez Bedoya, Jairo Iván 000132231 245__ $$aExploring deep learning techniques for illuminance estimation 000132231 260__ $$c2025 000132231 5203_ $$aIn recent years, deep learning techniques had a revolutionary impact on several domains, including computer vision and image processing. This research paper focuses on exploring deep learning methods to achieve precise illuminance estimation, which holds significant importance in applications such as augmented reality, virtual reality, and photography. However, accurately estimating illuminance in complex scenes continues to pose challenges due to the intricate interplay between light sources, objects, and surfaces. The results of extensive experimentation demonstrate the immense potential of deep learning techniques in illuminance estimation. These techniques exhibit promising accuracy and robustness, enabling them to handle diverse scenarios effectively. The valuable insights derived from this study can serve as a guiding framework for future research endeavours and contribute to the development of efficient and precise methodologies for illuminance estimation across a wide range of practical applications. 000132231 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000132231 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000132231 700__ $$0(orcid)0000-0002-8263-2444$$aGonzález Bedia, Manuel$$uUniversidad de Zaragoza 000132231 700__ $$aCastillo Ossa, Luis Fernando 000132231 700__ $$aArango-López, Jeferson 000132231 700__ $$aDíaz-Arancibia, Jaime 000132231 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000132231 773__ $$g42, 1 (2025), e13559 [14 pp.]$$pExpert syst.$$tEXPERT SYSTEMS$$x0266-4720 000132231 8564_ $$s3849536$$uhttps://zaguan.unizar.es/record/132231/files/texto_completo.pdf$$yVersión publicada 000132231 8564_ $$s2404315$$uhttps://zaguan.unizar.es/record/132231/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000132231 909CO $$ooai:zaguan.unizar.es:132231$$particulos$$pdriver 000132231 951__ $$a2024-12-20-12:05:29 000132231 980__ $$aARTICLE