| Polarization imaging detection technology is a new type of imaging detection technology.It is a technology that ordinary imaging combines polarization information to detect.Polarization detection can extract useful information such as texture and roughness through the difference of polarization information between the target and the background.It has many application values in target recognition under interference conditions such as atmospheric aerosols,foggy weather or noisy environment.However,the nonlinear superposition of noise can affect the results of the synthesized polarization image during polarization image synthesis,and then cause bad results in target detection.Therefore,it is necessary to perform noise reduction processing on polarized images and videos to improve the quality of polarized image synthesis.At present,most of the denoise methods for polarized images are based on single frame image in spatial or conversion domains,There are few methods for multi-frame noise reduction.The paper uses inter frame information of polarized video to carry out research on polarization image noise reduction methods.The experimental verification is conducted by using a three-beam simultaneous imaging polarization camera,collecting polarized radiation images with different polarization angles for real-time images synthesis,and inter frame information noise reduction methods are used to improve the quality of polarized video,which is also applied to the detection of moving objects.Specifically,the research has been carried out by following works:(1)Polarization image real-time acquisition and synthesis.By using camera hard triggering and other methods to achieve synchronous image acquisition,and then obtaining polarization degree image sequences through data preprocessing.Finally we got real-time display of polarization information images such as polarization degree,polarization angle,and intensity.The experiment mainly focused on the study of polarization image sequences.(2)By analyzing the noise model,using an improved mesh stream video noise reduction algorithm for noise reduction,and analyzing the processing results,it is proved that the processed polarized image sequence can significantly reduce noise and improve video quality.(3)The improved algorithms for target detection has used to further judge moving objects,combined with the characteristics of the degree of polarization image.The research results show that polarization imaging video can improve the contrast of moving objects compared to ordinary intensity imaging video for target detection.The improved algorithm in this article utilizes inter frame information to quickly and effectively reduce noise,and achieves good detection results in small target recognition. |
