In this context, a zero-reference image enhancement network for low light conditions is proposed in this paper. First, the improved Encoder-Decoder structure is used to extract image features to generate feature maps and generate the parameter matrix of the enhancement factor from the feature maps...
在本文中,我们提出了一种新的零参考低照度增强框架,该框架可仅使用正常光照下的图像进行训练。为此,我们从物理光传递理论中汲取灵感,设计了一种光照不变先验。这个先验值是连接正常光线图像和弱光图像的桥梁。然后,我们开发了一个先验图像框架,在没有弱光数据的情况下进行训练。在测试过程中,该框架能够将我们的光照...
Zero-Shot Low-Light Image Enhancement via Joint Frequency Domain Priors Guided DiffusionDue to the singularity of real-world paired datasets and the ... J He,S Palaiahnakote,A Ning,... 被引量: 0发表: 2024年 Zero-shot contrast enhancement and denoising network for low-light images Low-light...
The chosen model was from a 2021 research paper, Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement. The low light enhancement quality from this model was excellent when tested on a highly challenging dataset of mixed exposure and lighting conditions. Detail and structure that...
deep-learningpytorchhdrzero-shot-learninglow-light-enhancelow-light-image-enhancement UpdatedSep 21, 2021 Jupyter Notebook lukun199/TBEFN Star41 Project of 'TBEFN: A Two-branch Exposure-fusion Network for Low-light Image Enhancement ' low-light-enhance ...
利用CLIP 模型的 zeroshot 能力,以直接的方式在训练期间引入语义指导。为了简单起见,所提出的语义引导方法可以用于任何包含边界框注释的低光数据集或任何可用于提取对象类别的补丁的注释类型,考虑到弱光数据集的稀疏性和高收集成本是有利的。在训练过程中,使用注释来提取计算类cls对象的图像补丁。由于使用 CLIP 执行零...
For low-light enhancement tasks, network architecture design needs to be adapted to the characteristic of low-light images having more low-light features than high-light features. At the same time, for low-light enhancement tasks in real scenes, zero-shot learning32 methods are needed to ...
The chosen model was from a 2021 research paper, Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement. The low light enhancement quality from this model was excellent when tested on a highly challenging dataset of mixed exposure and lighting conditions. Detail and st...
Existing low-light image enhancement techniques face challenges in achieving high visual quality and computational efficiency, as well as in effectively removing noise and adjusting illumination in extremely dark scenes. To address these problems, in thi
In [11], the light enhancement is creatively formulated as a task of image-specific curve estimation us- ing zero-shot learning. In [20, 47, 55], 3D lookup table and color histogram are utilized to preserve the color consis- tency. However, existing design...