Stereo Image Super Resolution

Stereo Image Super-Resolution is a technique in the field of computer vision that aims to enhance the clarity and detail of low-resolution stereo images by leveraging complementary information from binocular images, generating high-resolution stereo images. The goal of this technology is to optimize image reconstruction quality, improve the accuracy of depth estimation and 3D reconstruction, thereby playing a significant role in applications such as virtual reality, autonomous driving, and medical imaging.