Can Reflected Light Reveal Screen Content ? Learning Degradation-Routed Evidence Representations for Hidden Screen Content Recovery

Can an ordinary camera recover what a hidden screen displays from the light it casts onto a wall? Propagation and diffuse reflection attenuate and spatially mix the screen signal, while surface texture, ambient illumination, and camera imaging further alter the observation. The resulting faint glow contains screen cues entangled with unrelated appearance. To recover screen content from this mixed glow, we propose Reflection-Evidence Routed Representation Learning (RERL). Consensus-Driven Evidence Representation Learning (CDERL) organizes screen-related cues through encoder-decoder agreement and masked prototype transport. Degradation-Aware Routing (DAR) combines complementary expert transformations with spatial guidance to adapt reconstruction to uneven degradation across the reflection. Across four screen-content groups, RERL outperforms 24 image-restoration baselines in PSNR, SSIM, and LPIPS. Component ablations reveal the complementary contributions of evidence organization and adaptive reconstruction, while perturbation tests and visual analyses demonstrate recovery under varied observation conditions. The reconstructions retain screen layouts, colour regions, and major contours, establishing the feasibility of recovering hidden screen content from wall reflections captured by an ordinary camera.