Fast filter bank implementation of image interpolation at any scale
Image interpolation has been extensively studied. In this paper, we present a fast filter bank algorithm for interpolating images at any scales. The proposed algorithm is a generalization of [1] and [2], which handles only either integer or dyadic scale magnification of images. The details of the algorithm and implementation are described in the paper. In particular, we show that several image interpolation algorithms are the special cases of our proposed algorithm. The comparison with other interpolating bases are also discussed. The proposed algorithm is of practical use for enlargement in display and printing applications.