ShadowRemovalNet: Efficient Real-Time Shadow Removal

arXiv:2403.08142v1 Announce Type: new
Abstract: Shadows significantly impact computer vision tasks, particularly in outdoor environments. State-of-the-art shadow removal methods are typically too computationally intensive for real-time image processing on edge hardware. We propose ShadowRemovalNet, a novel method designed for real-time image processing on resource-constrained hardware. ShadowRemovalNet achieves significantly higher frame rates compared to existing methods, making it suitable for real-time computer vision pipelines like those used in field robotics. Beyond speed, ShadowRemovalNet offers advantages in efficiency and simplicity, as it …

abstract art arxiv computer computer vision cs.cv edge environments hardware image image processing impact novel processing real-time shadow state tasks type vision