Abstract
Multi-exposure correction technology is essential for restoring images affected by insufficient or excessive lighting, enhancing the visual experience by improving brightness, contrast, and detail richness. However, current multi-exposure correction methods often encounter challenges in addressing intra-class variability caused by diverse lighting conditions, shooting environments, and weather factors, particularly when processing images captured at a single exposure level. To enhance the adaptability of these models under complex imaging conditions, this paper proposes a Wavelet-based Exposure Correction method with Degradation Guidance (WEC-DG). Specifically, we introduce a degradation descriptor within the Exposure Consistency Alignment Module (ECAM) at both ends of the processing pipeline to ensure exposure consistency and achieve final alignment. This mechanism effectively addresses miscorrected exposure anomalies caused by existing methods' failure to recognize 'blurred' exposure degradation. Additionally, we investigate the light-detail decoupling properties of the wavelet transform to design the Exposure Restoration and Detail Reconstruction Module (EDRM), which processes low-frequency information related to exposure enhancement before utilizing high-frequency information as a prior guide for reconstructing spatial domain details. This serial processing strategy guarantees precise light correction and enhances detail recovery. Extensive experiments conducted on multiple public datasets demonstrate that the proposed method outperforms existing algorithms, achieving significant performance improvements and validating its effectiveness and practical applicability.
Abstract (translated)
多曝光校正技术对于恢复因光线不足或过度照明而受影响的图像至关重要，通过改善亮度、对比度和细节丰富度来提升视觉体验。然而，当前的多曝光校正方法在处理由于多样化的光照条件、拍摄环境及天气因素所引起的类内变化时常常面临挑战，特别是在处理单一曝光级别的图像时更为明显。为了提高这些模型在复杂成像条件下适应性的目的，本文提出了一种基于小波变换并带有退化指导的多曝光校正方法（WEC-DG）。具体而言，在整个处理流程的两端引入了一个退化描述符至曝光一致性对齐模块（ECAM）中，以确保曝光的一致性，并实现最终对齐。这一机制有效地解决了现有方法未能识别“模糊”曝光降级而导致的过度曝光异常问题。 此外，我们探讨了小波变换在光细节解耦方面的特性，以此设计出曝光恢复和细节重建模块（EDRM）。该模块首先处理与曝光增强相关的低频信息，然后使用高频信息作为先验引导来重建空间域内的细节。这种串行处理策略确保了精确的光线校正，并增强了细节恢复的效果。 在多个公共数据集上进行广泛实验后发现，所提出的方法优于现有算法，在性能方面取得了显著提升，并验证了其有效性和实际应用性。
URL
https://arxiv.org/abs/2508.09565
