Ghimpeteanu, GabrielaBatard, ThomasSeybold, TamaraBertalmío, Marcelo2017-03-132017-03-132016Ghimpeteanu G, Batard T, Seybold T, Bertalmío M. Local denoising applied to RAW images may outperform non-local patch-based methods applied to the camera output. In: IS&T International Symposium on Electronic Imaging Science and Technology; 2016 Febr. 14-18; San Francisco (CA, USA). Springfield: IS&T; 2016. Digital Photography and Mobile Imaging XII, p. DPMI-015.1 [8 p.]. DOI: 10.2352/ISSN.2470-1173.2016.18.DPMI-0151062-3701http://hdl.handle.net/10230/28213Comunicació presentada al IS&T International Symposium on Electronic Imaging, celebrat del 14 al 18 de febrer de 2016 a San Francisco (CA, USA) i organitzat per la Society for Imaging Science and Technology.State-of-the-art denoising methods achieve impressive results, even for large noise levels. However, they can not be implemented in camera hardware, mainly due to the fact that they are computationally too intensive. The aim of this paper is then to show that we can obtain comparable denoising results to the ones obtained with state-of-art methods by inserting a well-chosen fast denoising method at the right location in the camera processing pipeline. We evaluate our results visually and with respect to objective measures.application/pdfeng© 2016 Society for Imaging Science and Technology. Reprinted with permission of IS&T: The Society for Imaging Science and Technology sole copyright owners of Electronic Imaging, Digital Photography and Mobile Imaging XII.Imatges -- ProcessamentComunicació visualinfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.2352/ISSN.2470-1173.2016.18.DPMI-015info:eu-repo/semantics/openAccess