Light Weight Color Image Warping with Inter-Channel Information
This work addresses image warping for multimedia applications, offering an incremental improvement over traditional methods.
The paper tackles the problem of color image warping by exploiting cross-channel correlation to enhance quality, achieving significant improvements at low computational cost suitable for mobile devices.
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.