论文标题
多引用图像超分辨率：后融合方法
Multi-Reference Image Super-Resolution: A Posterior Fusion Approach
论文作者
论文摘要
最近已经提出了基于参考的超分辨率（REFSR）方法，以通过提供高分辨率图像中的其他信息来克服图像超分辨率的问题。多参考超分辨率通过允许合并更多信息来扩展此方法。本文提出了一种2步加权后融合方法，以将REFSR模型的输出与多个参考结合在一起。 CUFED5数据集的大量实验表明，可以将所提出的方法应用于各种最新的REFSR模型，以始终如一地改善图像质量。
Reference-based Super-resolution (RefSR) approaches have recently been proposed to overcome the ill-posed problem of image super-resolution by providing additional information from a high-resolution image. Multi-reference super-resolution extends this approach by allowing more information to be incorporated. This paper proposes a 2-step-weighting posterior fusion approach to combine the outputs of RefSR models with multiple references. Extensive experiments on the CUFED5 dataset demonstrate that the proposed methods can be applied to various state-of-the-art RefSR models to get a consistent improvement in image quality.
