Title :
Joint demosaicking and denoising by total variation minimization
Author :
Condat, L. ; Mosaddegh, S.
Author_Institution :
GREYC, Univ. Caen Basse-Normandie, Caen, France
fDate :
Sept. 30 2012-Oct. 3 2012
Abstract :
Joint 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.
Keywords :
image colour analysis; image denoising; image reconstruction; minimisation; variational techniques; color image; consistency constraint; digital camera; image demosaicking; image denoising; image reconstruction; luminance channel; noisy raw data output; sensor; total variation minimization; Color; Colored noise; Image color analysis; Image reconstruction; Noise measurement; Noise reduction; Bayer color filter array; Demosaicking; denoising; frequency selection; spatio-spectral sampling;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6467476