研究人员开发了几种用于增强低光图像和视频的新方法。其中一种方法PixIE使用视觉基础模型来提示像素空间增强，从而改进细节恢复并减少噪声。另一种方法InterLight利用内在照明先验和物理引导增强来创建一个感知照明的流水线，以获得更清晰的纹理。此外，还发布了一个名为BVI-RLV的新数据集，以解决低光视频增强领域对齐训练数据稀缺的问题，该数据集在用于训练模型时显示出显著的性能提升。
AI
Low-Light Image Enhancement (LLIE) has long been a challenging problem in low-level vision, as insufficient illumination often leads to low contrast, detail loss, and noise. Recent studies show that deep learning-based Retinex theory can effectively decouple illumination and refl…
arXiv cs.CV
TIER_1English(EN)·Ruirui Lin, Guoxi Huang, David Bull, Nantheera Anantrasirichai·
arXiv:2605.23531v1 Announce Type: new Abstract: Low-light images exhibit severe noise, contrast loss, and semantic ambiguity, making enhancement a joint problem of denoising and detail recovery. We propose PixIE, a feed-forward pixel-space LLIE framework semantically-prompted by …
arXiv:2510.09450v2 Announce Type: replace Abstract: Low-light video enhancement (LLVE) is challenging due to noise, low contrast, and color degradation. While learning-based methods enable fast inference, they often fail under heavy real-world noise because they do not sufficient…
arXiv cs.CV
TIER_1English(EN)·Ruirui Lin, Guoxi Huang, Joanne Lin, Qi Sun, Alexandra Malyugina, David R Bull, Nantheera Anantrasirichai·
arXiv:2407.03535v3 Announce Type: replace Abstract: Low-light videos often exhibit spatiotemporally incoherent noise, compromising visibility and degrading performance in computer vision applications. A major challenge for enhancing such content using deep learning lies in the sc…
Low-light images exhibit severe noise, contrast loss, and semantic ambiguity, making enhancement a joint problem of denoising and detail recovery. We propose PixIE, a feed-forward pixel-space LLIE framework semantically-prompted by a vision foundation model. PixIE first performs …
arXiv:2605.22186v1 Announce Type: new Abstract: Event-based low-light image enhancement (LIE) methods mainly focus on incorporating high dynamic range (HDR) information from events while overlooking the essential global illumination in images and the inherent noise sensitivity of…
Low-Light Image Enhancement (LLIE) has long been a challenging problem in low-level vision, as insufficient illumination often leads to low contrast, detail loss, and noise. Recent studies show that deep learning-based Retinex theory can effectively decouple illumination and refl…