Adaptive demosaicing with the principal vector method

Demosaicing is the process of interpolating the missing colors in an image that is acquired from a digital image sensor equipped with a color filter array. This paper describes a spatially adaptive demosaicing algorithm that is based on the Jacobian matrix of the color map and neighborhood voting. The algorithm requires only additions, subtractions and shifts, and is therefore attractive from a computational point of view. Comparisons are provided to show that the algorithm improves on published algorithms in terms of complexity or image quality.