Joint demosaicking and denoising by total variation minimization

Laurent Condat (1) , Saleh Mosaddegh (1)

1 Equipe Image - Laboratoire GREYC - UMR6072

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.

Mots clés: Demosaicking; denoising; Bayer color filter array; frequency selection; spatio-spectral sampling

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Laurent Condat, Saleh Mosaddegh. Joint demosaicking and denoising by total variation minimization. IEEE ICIP, Sep 2012, Orlando, United States. pp. 2781-2784, ⟨10.1109/ICIP.2012.6467476⟩. ⟨hal-00598807v2⟩