Simultaneous image interpolation for stereo images

Simultaneous interpolation of stereo images aims to use a pair of stereo images to reconstruct another pair of images with higher resolutions. To tackle this problem, a simultaneous approach is proposed in this paper. Since the prior image model is important for solving the ill-posed numerical issues encountered in the image interpolation computation, the proposed approach exploits a prior image model that considers both the spatial local smoothness constraint within each reconstructed high-resolution image and the disparity-compensated local smoothness constraint between the pair of reconstructed high-resolution images. The proposed approach requires the disparity to be known in advance or has been accurately estimated by the existing stereo matching algorithm. Experiments are conducted using both artificially generated images and real-life images to demonstrate the superior performance of the proposed approach.

► We propose a new prior image model for stereo image resolution enhancement.
► We exploit the spatial local smoothness constraint within each high-resolution image.
► We exploit disparity-compensated smoothness constraint between a pair of stereo images.