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Volume: 28 | Article ID: art00020
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Local denoising applied to RAW images may outperform non-local patch-based methods applied to the camera output
  DOI :  10.2352/ISSN.2470-1173.2016.18.DPMI-015  Published OnlineFebruary 2016
Abstract

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.

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Gabriela Ghimpeţeanu, Thomas Batard, Tamara Seybold, Marcelo Bertalmío, "Local denoising applied to RAW images may outperform non-local patch-based methods applied to the camera outputin Proc. IS&T Int’l. Symp. on Electronic Imaging: Digital Photography and Mobile Imaging XII,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.18.DPMI-015

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