# Light Weight Color Image Warping with Inter-Channel Information

## TL;DR

This paper introduces a low-cost color image warping method that leverages inter-channel correlations to improve quality, suitable for real-time mobile multimedia applications.

## Contribution

The paper proposes a novel warping scheme that combines intra-channel interpolation with cross-channel information, enhancing quality with minimal computational overhead.

## Key findings

- Significant improvement in warping quality using inter-channel correlation.
- Method achieves high efficiency suitable for mobile devices.
- Validated through extensive experiments.

## Abstract

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.