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。
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.
作者
贾俊霞
张建平
JIA Jun-xia;ZHANG Jian-ping(Chongqing Creation Vocational College,Chongqing 402160,China)
出处
《南京工业职业技术学院学报》
2018年第4期20-24,共5页
Journal of Nanjing Institute of Industry Technology
关键词
红外图像
视觉侧抑制
非经典感受野
三高斯模型
infrared images
visual lateral inhibition
non-classical receptive field
trigaussian model