A Fusion Method of Infrared Polarized Image Based on YUV and Multi-Feature Separation

Abstract

The invention discloses a fusion method of infrared polarization images based on YUV and multi-feature separation: firstly, Stokes vector is used to represent the polarization state of light, and the polarization degree image and polarization angle image are calculated; then the polarization degree and polarization angle are calculated The polarization angle images have their own unique parts P' and R'; then use the multi-feature separation method of the dark channel theory to fuse the images P' and R', and fuse the fusion results with the total intensity image I in the YUV space to obtain the final infrared polarization Image fusion results. This method is based on the YUV color space fusion of human visual characteristics, which effectively improves the visualization effect of the polarization image fusion results, enhances the details of the image edge and other details, improves the image contrast, and fuses the complementary information between the polarization quantities to make the fusion image scene Richer and helpful for identifying camouflaged targets.

Description

technical field [0001] The present invention generally relates to the technical field of image processing, in particular to a fusion method of infrared polarization images based on YUV and multi-feature separation. Background technique [0002] The traditional infrared imaging system mainly images the infrared radiation intensity of the scene, which is mainly related to the temperature and emissivity of the scene. When a noise source with the same temperature is placed around the target, the existing infrared thermal imaging camera cannot identify the camouflaged target, and the infrared imaging technology faces serious limitations and challenges. Compared with traditional infrared imaging, the polarization imaging of light can reduce the degradation effect of complex scenes, and the use of polarization imaging of light can reduce the degradation effect of complex scenes, and at the same time, the structure and distance information of the scene can be obtained. It is precis...

AI Technical Summary

Problems solved by technology

In the process of polarization image fusion, only a single difference feature is considered, which cannot effectively describe all the uncertain and randomly changing image features in the image, resulting in the loss of some valuable information during the fusion process, resulting in the fusion and recognition. Failed; at the same time, the visual effect of the fusion image affects the resolution ability of the human eye and the recognition effect on camouflaged targets

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