先验知识使得低光图像增强更合理
Zefei Chen1, Yongjie Lin1, Jianmin Xu1
1School of Civil Engineering & Transportation, South China University of Technology, Guangzhou 510641, China.
Sensors (Basel, Switzerland)
|September 13, 2025
概括
本研究介绍了Priori深曲线估计 (Priori DCE),这是一个用于低光图像增强的新框架. 普里奥里DCE利用先前的知识来引导亮度,并自适应地调整像素增强,显著改善图像质量指标.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 人工智能的人工智能
背景情况:
- 由于亮度映射中固有的不确定性,低光图像增强具有挑战性.
- 现有的方法在适应性像素亮度调整和全球视觉平衡方面扎.
研究的目的:
- 开发基于先验知识的框架,用于在低光条件下强大的图像增强.
- 通过引导亮度来解决低光图像增强的不良性质.
- 为了改善视觉平衡和在增强图像中的细节保存.
主要方法:
- 整合先验通道来引导增强图像的亮度.
- 开发一种增强函数,根据像素亮度先验调整增强概率.
- 全球注意力区块 (GA区块) 的引入,用于像素间计算和视觉平衡.
主要成果:
- 在LOLv2-Synthetic数据集上,Priori DCE显示出与最先进的方法相比的显著优势.
- 与Retinexformer.com相比,在PSNR (25.67至29.49) 和SSIM (92.82至93.6) 中取得了改进.
- 将NIQE指数从3.94降低到3.91,表明感知质量有所提高.
结论:
- 普里奥里DCE通过利用先前的知识和适应性策略,有效地增强低光图像.
- 拟议的框架在量化指标和感知质量方面提供了卓越的性能.
- 全球注意力块对于在低光条件下图像增强中实现视觉平衡至关重要.
相关概念视频
Light Acquisition
9.4K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
9.4K
Difference from Background: Limit of Detection
8.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
8.0K
Imaging Biological Samples with Optical Microscopy
8.8K
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
8.8K
Upsampling
588
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
588
Focusing of Light in the Eye
5.4K
Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
5.4K
Depth Perception and Spatial Vision
1.8K
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
1.8K


