Classification-based de-mosaicing for digital cameras

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 content analysis and filter coefficient optimisation are performed during training and the training process is offline, the online de-mosaicing filter is very efficient. & 2012 Elsevier B.V. All rights reserved.