Adaptive demosaicing with the principal vector method

Demosaieing is the process of interpolating the missing colors in an image that is acquired from a digital image sensor equipped with e color fllter array. This paper based on the Jacobian matrix of the color map and neighborhood voting. The algorithm requires only additions, subtractions end shifts, end 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. In this paper, we propose an adaptive algorithm which produces images with quality comparable to CCR, but with parable to GRAD or PRED. The new algorithm, which we refer to as the principal vector method (PVM), relies on the ~ ~ ~ ~ b i ~ and employs a voting Scheme to determine the interPolation direction. describes a spatially adaptive demosaieing algorithm that is a greatly reduced which is cornof the color mapping at every 11. PRELIMINARY CONCEPTS