使用基于模糊规则的逻辑控制的数字过技术
Xiao-Xia Yin1, Sillas Hadjiloucas2
1Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, China.
Journal of imaging
|October 27, 2023
概括
模糊逻辑控制有效地消除了数字图像中的冲动噪声,保留了细节和边缘. 这种方法提供了快速的计算和优异的噪声抑制,即使在复杂的图像中,混杂的噪声类型.
科学领域:
- 图像处理 图像处理
- 人工智能的人工智能
- 控制系统 控制系统
背景情况:
- 冲动噪声会显著降低数字图像质量.
- 传统的消除噪声方法经常与边缘保护和复杂的噪声模式作斗争.
研究的目的:
- 探索模糊逻辑控制概念,以有效消除数字图像中的冲动噪声.
- 在图像过过程中增强边缘和细节保存.
- 介绍和比较各种基于模糊规则的过技术.
主要方法:
- 基于模糊规则的逻辑控制用于噪声过.
- 在RGB图像中使用矢量定向过器进行模糊推断.
- 模糊的蜂自动机与摩尔社区建筑.
- 模糊的深度学习组合分类器 (CNN,RNN,LSTM,GRU) 与模糊的Min-Max (FMM).
- 模糊的非局部平均波器方法.
主要成果:
- 模糊逻辑过器展示了高质量的边缘保护.
- 有效的空间噪声抑制,特别是在复杂的图像中.
- 强大的消除混合添加剂和冲动噪声的噪声.
- 讨论的算法的快速计算实现.
结论:
- 模糊逻辑控制为先进的数字图像消除噪音提供了一个强大的框架.
- 本文所介绍的基于模糊规则的方法在图像质量和噪音抑制方面明显优于传统技术.
- 深度学习组合与模糊逻辑相结合,在复杂的噪音场景中显示出有希望的结果.
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