基于小波变换的红外偏振图像融合算法

为了改善红外图像质量、提高人造目标的可识别率,基于偏振度图像能够较好地凸显人造目标,偏振角较好地描述不同物体表面取向,I图像能反映场景的强度信息的特征,采用对红外图像进行偏振图像融合的算法,即先通过红外热像仪和偏振片拍摄到偏振角度为0°,60°和120°3幅红外图像,再通过计算得到I,Q,U图像,进而得到偏振度图像和偏振角图像,最后对I图像、偏振度和偏振角图像进行红外偏振图像融合,得到高质量的红外偏振图像,由理论分析得到了各个图像的性能指标数据。结果表明,基于小波变换的红外偏振图像融合算法得到的图像数据合理,达到了改善红外图像质量和提高图像中的人造目标的可识别率的目的。

Fusion algorithm of infrared polarization images based on wavelet transform

In order to improve the quality of the infrared image significantly and improve the recognition rate of an artificial target,because the degree of polarization of the image can better highlight the artificial target,the polarization angle can better describe the different objects surface alignment and image I reflects the information about the intensity of the scene,the fusion algorithm of infrared polarization images based on wavelet transform was put forward.Firstly,three infrared images at polarization angle of 0°,60° and 120° were collected with an infrared camera and a polarizer.Secondly,after calculating the I,Q,U images,the images of polarization and polarization angle were obtained.Finally,high-quality infrared polarization images were obtained by fusing image I,the images of degree of polarization and polarization angle together.After analyzing the performance data of each image,the results show that the obtained image data by means of fusion algorithm of infrared polarization image based on wavelet transform is reasonable,the quality of the infrared image and the recognition rate of the artificial objects were improved.