A Statistical Approach for Image Interpolation

Interpolation is an image processing operation for im-prove the resolution of a digital image. In this work, follow-ing the orthogonality principle, and under the assumption that the actual image is a locally stationary random pro-cess, we propose an alternative scheme for image interpola-tion. In our approach, the computational complexity is sim-ilar to the first-order spline algorithm. The algorithm was compared with classical B-spline methods and also with a statistical interpolator previously proposed in the literature. According to the normalized mean square error criteria, the proposed method produced accurate results. 1