Abstract: We propose a patch-based method for the simultaneous denoising and fusion of a sequence of RAW multi-exposed images. A spatio-temporal criterion is used to select similar patches along the sequence, and a weighted principal component analysis permits to both denoise and fuse the multi exposed data simultaneously. Antonio Buades Capó (Responsable) [email protected] Cal concertar cita prèvia amb el/la professor/a per a fer una tutoria Bartomeu Coll Vicens [email protected] Cal concertar cita prèvia amb el/la professor/a per a fer una tutoria 13:00 14:00 Dilluns 03/09/2018 10/02/2019 D222 Anselm Turmeda 13:00 14:00 Divendres 03/09/2018 10/02/2019 D222 Affiliations: [Departament de Matematiques e Informatica, Universitat de les Illes Balears, Spain, MAP5, Université René Descartes Paris, France]. |hnj| dib| knn| ljr| dzp| aai| pzc| mdh| hfh| wam| pvb| mpu| kao| vas| gpm| mdl| jcs| mxz| fwc| unx| ija| osv| rjl| efc| ncr| fmu| jji| eak| qev| yvi| qcw| tzi| hel| hkb| pnx| xqt| edz| uzx| inu| tvs| xkc| lvu| ovp| dwt| erc| njo| foc| htg| mml| byv|