红外弱小目标图像分析与目标增强

Image Analysis and Target Enhancement of Infrared Weak and Small Targets

红外弱小目标图像因其背景复杂、信杂比低、目标尺寸小、目标亮度低等特点,较难检测。首先对红外弱小目标图像进行了特征分析与统计特性的计算,作出了红外图像的灰度空间分布图和直方图,分析不同背景下的红外图像的特征,同时提出了新的局部信杂比的计算方式,对不同背景的红外图像进行了统计特性的计算;其次,提出了采用MPCM算法对弱小目标进行增强。实验结果表明,经过MPCM算法增强的弱小目标亮度增加,局部信杂比增益得到较大提高,为后续红外弱小目标的检测奠定了基础。

Infrared weak and small target images are difficult to detect due to their complex background,low signal-tonoise ratio,small target size,and low target brightness.This paper firstly analyzes the characteristics and calculates the statis-tical characteristics of the infrared weak and small target images,and makes the gray distribution map and histogram of the infrared image,and analyzes the characteristics of infrared images under different backgrounds.At the same time,a new local signal to noise ratio is proposed in this paper.The statistical characteristics of infrared images with different backgrounds are calculated by using the calculation method of,and then the MPCM algorithm is proposed to enhance the weak and small targets.The experimental results show that the brightness of the weak and small targets enhanced by the MPCM algorithm increases and the local signal-to-noise ratio gains.It has been greatly improved,laying a foundation for the subsequent de-tection of infrared weak and small targets.