视觉感知的相互信息测量基于杂的尖端神经网络
Ziheng Xu1, Yajie Zhai1, Yanmei Kang1
1School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China.
Frontiers in neuroscience
|September 1, 2023
概括
本研究介绍了一种用于低照明环境的新视觉感知算法. 通过利用非周期性随机共振和相互信息,该算法增强了图像检测,并支持视频跟踪等应用程序.
科学领域:
- 计算神经科学是一种计算神经科学.
- 信息理论是信息理论.
- 图像处理 图像处理
背景情况:
- 低照明图像由于弱无周期信号而存在挑战.
- 相互信息量化了非线性系统中共享的信息,为视觉感知提供了潜在的指标.
研究的目的:
- 开发一种新的视觉感知算法,使用非周期性随机共振和信息理论.
- 为了提高在低照明条件下图像检测.
主要方法:
- 利用集成和发射神经网络与杂的二进制随机信号输入.
- 提出了一种改进的视觉感知算法,使用图像相互信息作为评估指数.
- 研究了量子作为值值的有效性.
主要成果:
- 证明最大的相互信息在获取目标图像方面优于自然图像质量评估 (NIQE).
- 证实了使用量子为值值的优势.
- 展示了该算法在处理低照明图像特征的弱无周期信号方面的有效性.
结论:
- 开发的视觉感知算法有效地提高了在低照明环境中的图像检测.
- 这种基于信息理论和随机共振的方法,比NIQE等现有方法提供了显著的改进.
- 这些发现促进了潜在的应用,例如低光视频跟踪.
更多相关视频
相关概念视频
Neural Circuits
1.3K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.3K
Parallel Processing
179
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
179


