标题： AOSR-Net：全功能沙尘去除网络 显示英文标题

标题： AOSR-Net: All-in-One Sandstorm Removal Network

摘要： 大多数现有的沙尘暴图像增强方法基于传统理论和先验知识，这往往限制了它们在现实场景中的适用性。 此外，这些方法通常采用先进行颜色校正再去除灰尘的策略，这使得算法结构过于复杂。 为了解决这个问题，我们引入了一个新的图像恢复模型，名为一体化沙尘去除网络（AOSR-Net）。 该模型是基于重新构建的沙尘暴散射模型开发的，通过集成中间参数直接建立图像映射关系。 这种集成方案有效解决了沙尘图像增强领域中过度增强和泛化能力弱的问题。 在合成和真实世界沙尘暴图像上的实验结果证明了所提出的AOSR-Net优于最先进的（SOTA）算法。 显示英文摘要

摘要： Most existing sandstorm image enhancement methods are based on traditional theory and prior knowledge, which often restrict their applicability in real-world scenarios. In addition, these approaches often adopt a strategy of color correction followed by dust removal, which makes the algorithm structure too complex. To solve the issue, we introduce a novel image restoration model, named all-in-one sandstorm removal network (AOSR-Net). This model is developed based on a re-formulated sandstorm scattering model, which directly establishes the image mapping relationship by integrating intermediate parameters. Such integration scheme effectively addresses the problems of over-enhancement and weak generalization in the field of sand dust image enhancement. Experimental results on synthetic and real-world sandstorm images demonstrate the superiority of the proposed AOSR-Net over state-of-the-art (SOTA) algorithms.