Abstract
Ultra-Wide-Field (UWF) retinal imaging has revolutionized retinal diagnostics by providing a comprehensive view of the retina. However, it often suffers from quality-degrading factors such as blurring and uneven illumination, which obscure fine details and mask pathological information. While numerous retinal image enhancement methods have been proposed for other fundus imageries, they often fail to address the unique requirements in UWF, particularly the need to preserve pathological details. In this paper, we propose a novel frequency-aware self-supervised learning method for UWF image enhancement. It incorporates frequency-decoupled image deblurring and Retinex-guided illumination compensation modules. An asymmetric channel integration operation is introduced in the former module, so as to combine global and local views by leveraging high- and low-frequency information, ensuring the preservation of fine and broader structural details. In addition, a color preservation unit is proposed in the latter Retinex-based module, to provide multi-scale spatial and frequency information, enabling accurate illumination estimation and correction. Experimental results demonstrate that the proposed work not only enhances visualization quality but also improves disease diagnosis performance by restoring and correcting fine local details and uneven intensity. To the best of our knowledge, this work is the first attempt for UWF image enhancement, offering a robust and clinically valuable tool for improving retinal disease management.
Abstract (translated)
超宽视野(UWF)视网膜成像技术通过提供视网膜的全面视角，彻底革新了视网膜诊断。然而，这种技术经常受到诸如模糊和不均匀照明等质量下降因素的影响，这些因素掩盖了细节并隐藏了病理信息。虽然已经提出了许多针对其他眼底影像图像增强的方法，但它们往往未能解决UWF成像的独特需求，尤其是保持病理细节的需求。在本文中，我们提出了一种新颖的频率感知自监督学习方法，专门用于UWF图像增强。该方法包含了频域解耦图像去模糊和基于Retinex引导的光照补偿模块。在一个模块中引入了不对称通道集成操作，以便利用高频和低频信息来结合全局视图与局部视图，确保精细结构和更广泛结构细节的保留。另外，在第二个基于Retinex的方法模块中提出了色彩保持单元，该单元提供了多尺度的空间和频率信息，从而实现了精确的光照估计和校正。实验结果表明，所提出的方法不仅提高了可视化质量，还通过恢复并修正局部细节点和不均匀强度而改善了疾病的诊断性能。据我们所知，这是首次尝试针对UWF图像增强进行的工作，并为提高视网膜疾病管理提供了一种稳健且具有临床价值的工具。
URL
https://arxiv.org/abs/2508.19664
