Research On Imaging Algorithm Of Uncooled Infrared Polarization Detector

The radiation difference between target and background can be detected by traditional infrared thermal imaging,but only the intensity information of the scene can be detected.However,the object will produce infrared polarization information during the process of emission,scattering,reflection and transmission of electromagnetic waves.Both the infrared intensity information and infrared polarization information of the scene can be detected by infrared polarization imaging technology.Existing research results show that infrared polarization imaging technology can greatly reduce the false alarm rate of traditional infrared detection systems,improve the signal-to-noise ratio,and enhance the ability to identify camouflage targets.Based on a new domestic uncooled infrared defocus plane polarization imaging detection system,the following research work has been carried out:1.The principle of infrared polarization imaging is analyzed.The causes of polarization are analyzed,and three representation methods of polarized light are introduced.This paper introduces the infrared defocus plane polarization imaging detection system used in this paper and its key component,the defocus plane polarization detector,and expounds the Stokes representation method and the actual meaning of Mueller matrix.2.The polarization detector non-uniformity is studied.Aiming at the non-uniform characteristics of the defocus focal plane polarization detector,the infrared and polarization radiation response models of the detector are established from a simple circuit model,the transmission process of polarized light is studied,and a method for correcting polarization non-uniformity is proposed.At the same time,a gradient-based MPA interpolation method is proposed for polarized images to correct the field of view errors and restore the resolution.3.Infrared polarization imaging denoising.The noise source of polarization imaging is analyzed,the noise sensitivity of the polarization angle is simulated,and a method of phase compensation for the polarization angle information is proposed.A PBM3 D denoising method for polarized images is used to remove noise from polarized images.The processed images have good subjective / objective evaluation indexes.4.Color fusion for infrared polarization imaging.In order to improve the quality of image fusion,an image enhancement method based on MBF and VSM is proposed,which effectively improves the contrast between infrared images and polarization images,and enhances their detailed information.An HSV color fusion method is researched,which can retain the effective information of infrared and polarized images while enhancing the ability to detect weak targets and camouflage targets.Through the research of this paper,it has laid a certain foundation for the work of non-uniform correction,polarization information denoising and polarization information fusion based on uncooled infrared defocusing plane polarization detector.