Open AccessJoint demosaicking and denoising by total variation minimization
Author(s) -
Laurent Condat,
Saleh Mosaddegh
Publication year - 2012
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
ISBN - 978-1-4673-2532-5
DOI - 10.1109/icip.2012.6467476
Subject(s) - chrominance , demosaicing , artificial intelligence , noise reduction , computer vision , joint (building) , total variation denoising , computer science , luminance , color image , minification , video denoising , channel (broadcasting) , digital camera , mathematics , noise (video) , image (mathematics) , image processing , engineering , video processing , multiview video coding , programming language , computer network , video tracking , architectural engineering
International audienceJoint demosaicking and denoising consists in reconstructing a color image from the noisy raw data output by the sensor of a digital camera. We adopt a variational formulation in which the reconstructed image has minimal total variation under the constraint of consistency with the available measurements. This way, the recovered color image has smooth chrominance but the sharp edges are maintained and the noise is transferred to the luminance channel. This channel is denoised subsequently
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