  Image warping is a necessary step in many multimedia applications such as
texture mapping, image-based rendering, panorama stitching, image resizing and
optical flow computation etc. Traditionally, color image warping interpolation
is performed in each color channel independently. In this paper, we show that
the warping quality can be significantly enhanced by exploiting the
cross-channel correlation. We design a warping scheme that integrates
intra-channel interpolation with cross-channel variation at very low
computational cost, which is required for interactive multimedia applications
on mobile devices. The effectiveness and efficiency of our method are validated
by extensive experiments.

Computer Vision and Pattern Recognition