Le dématriçage par sélection spectrale revisité

Nous mettons en lumiere certaines proprietes nouvelles du dematricage lineaire par selection spectrale. Ainsi, cette approche, simple et rapide, fournit une solution directe au probleme du dematricage par minimisation d'un critere quadratique variationnel. La linearite de la methode la rend robuste dans les conditions reelles d'aliasage et de bruit, une qualite que l'on ne retrouve pas chez les methodes non lineaires de dematricage de la litterature.

[1]  David Zhang,et al.  PCA-Based Spatially Adaptive Denoising of CFA Images for Single-Sensor Digital Cameras , 2009, IEEE Transactions on Image Processing.

[2]  Laurent Condat.  A Generic Variational Framework for Demosaicking and Performance Analysis of Color Filter Arrays , 2008 .

[3]  Y. Hel-Or.  The Canonical Correlations of Color Images and their use for Demosaicing , 2004 .

[4]  David Alleysson.  30 ans de démosaïçage , 2004 .

[5]  David Alleysson,et al.  Frequency selection demosaicking: a review and a look ahead , 2008, Electronic Imaging.

[6]  R.W. Schafer,et al.  Demosaicking: color filter array interpolation , 2005, IEEE Signal Processing Magazine.

[7]  Eric Dubois,et al.  Frequency-domain methods for demosaicking of Bayer-sampled color images , 2005, IEEE Signal Processing Letters.

[8]  Lei Zhang,et al.  Image demosaicing: a systematic survey , 2008, Electronic Imaging.

[9]  Eric Dubois,et al.  Filter Design for Adaptive Frequency-Domain Bayer Demosaicking , 2006, 2006 International Conference on Image Processing.

[10]  Javier Portilla,et al.  Low-complexity linear demosaicing using joint spatial-chromatic image statistics , 2005, IEEE International Conference on Image Processing 2005.

[11]  Karen O. Egiazarian,et al.  Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data , 2008, IEEE Transactions on Image Processing.

[12]  Sabine Süsstrunk,et al.  Linear demosaicing inspired by the human visual system , 2005, IEEE Transactions on Image Processing.