A new CFA interpolation framework
Signal Processing
Journal of Visual Communication and Image Representation
Adaptive demosaicing with the principal vector method
IEEE Transactions on Consumer Electronics
Effective use of spatial and spectral correlations for color filter array demosaicking
IEEE Transactions on Consumer Electronics
Edge-adaptive Demosaicking for Artifact Suppression Along Line Edges
IEEE Transactions on Consumer Electronics
Color Demosaicing Using Variance of Color Differences
IEEE Transactions on Image Processing
An Overview and Performance Evaluation of Classification-Based Least Squares Trained Filters
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Effective color interpolation in CCD color filter arrays using signal correlation
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we propose a content adaptive demosaicing algorithm, utilising content analysis and correlation between the red, green and blue planes of a particular image. These two aspects are used for the classification of the technique in the generated trained filters. The proposed method aims to reconstruct a high quality demosaiced image from a CFA Bayer pattern. The strategy highlighted in this paper is very effective, as many of the image details are maintained during reconstruction. Since image content analysis and filter coefficient optimisation are performed during training and the training process is offline, the online de-mosaicing filter is very efficient.