Image demosaicking using super resolution techniques

Limitations do exist on capturing the full color information in a scene, apart from the resolution of captured images. Therefore mosaic images are the preferred format in digital cameras, where incomplete set of color information is acquired. In this paper, a super-resolution demosaicking (SRD) approach is proposed to reconstruct an enhanced-resolution full-color image from the observed samples, robustly and without the need (a) for a training process. The acquisition model assumes degraded observations using known blur and noise. The reconstruction approach iteratively estimates the unknown registration parameters and the demosaic image simultaneously. Qualitative and quantitative experiments performed (b) on synthetic observations reveal high performance images