基于视觉侧抑制的红外图像增强算法研究
Research on Enhancement Algorithm of Infrared Image Based on Visual Lateral Inhibition
贾俊霞 1张建平1
作者信息
- 1. 重庆科创职业学院 人工智能学院, 重庆 402160
- 折叠
摘要
针对红外图像对比度低、图像细节模糊、视觉效果差等缺点,提出了一种基于视觉侧抑制的红外图像增强算法.实验证明了该算法能够有效地增强图像的边缘细节信息及图像的对比度,具有实际的工程应用价值.
Abstract
In this paper, an infrared image enhancement algorithm based on visual lateral inhibition is proposed to overcome the disadvantages of low contrast, blurry image details and poor visual effect. The experimental results show that this algorithm can effectively enhance the edge details and image contrast, and has practical engineering application value.
关键词
红外图像/视觉侧抑制/非经典感受野/三高斯模型Key words
infrared images/visual lateral inhibition/non-classical receptive field/trigaussian model引用本文复制引用
出版年
2018
NETL
NSTL
维普
万方数据