March 28, 2024, 4:45 a.m. | He-Hao Liao, Yan-Tsung Peng, Wen-Tao Chu, Ping-Chun Hsieh, Chung-Chi Tsai

cs.CV updates on

arXiv:2403.18270v1 Announce Type: new
Abstract: The quality of images captured outdoors is often affected by the weather. One factor that interferes with sight is rain, which can obstruct the view of observers and computer vision applications that rely on those images. The work aims to recover rain images by removing rain streaks via Self-supervised Reinforcement Learning (RL) for image deraining (SRL-Derain). We locate rain streak pixels from the input rain image via dictionary learning and use pixel-wise RL agents to …

abstract applications arxiv computer computer vision eess.iv image images outdoors quality rain reinforcement reinforcement learning type via view vision weather work

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