论文标题
Wavenhancer：统一的小波和变压器以增强图像
WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement
论文作者
论文摘要
图像增强是一种在数字图像处理中经常使用的技术。近年来，增强照片审美表现的基于学习的技术的普及已增加。但是，当前大多数作品不会优化来自不同频域的图像，通常专注于像素级或全球级别的增强功能。在本文中，我们在小波域中提出了一个基于变压器的模型，以完善图像的不同频带。我们的方法既着重于本地细节和高级功能，以增强功能，这可以产生较高的结果。根据全面的基准评估，我们的方法优于最新方法。
Image enhancement is a technique that frequently utilized in digital image processing. In recent years, the popularity of learning-based techniques for enhancing the aesthetic performance of photographs has increased. However, the majority of current works do not optimize an image from different frequency domains and typically focus on either pixel-level or global-level enhancements. In this paper, we propose a transformer-based model in the wavelet domain to refine different frequency bands of an image. Our method focuses both on local details and high-level features for enhancement, which can generate superior results. On the basis of comprehensive benchmark evaluations, our method outperforms the state-of-the-art methods.
