A Method of Infrared Polarization and Light Intensity Image Fusion Based on Structural Similarity Constraint
A technology of structural similarity and infrared polarization, applied in image enhancement, image analysis, image data processing, etc., can solve the problems that it is difficult to better preserve the brightness, contour, edge and texture of two types of images, and achieve the loss of low-frequency features , Reduce the loss of high-frequency information, the effect of good edge and texture features
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[0023] refer to figure 1 flow chart for Figure 4 and Figure 5 The shown infrared polarization and light intensity images are the research object and the experiment is carried out.
[0024] An infrared polarization and light intensity image fusion method using structural similarity constraints, comprising the following steps:
[0025] S1: Use an infrared thermal imager to take images of infrared light intensity, use a step-rotating polarizer and an infrared thermal imager to build an infrared polarization camera, and obtain four angles of 0°, 45°, 90° and 135° by rotating the polarizer Infrared polarized images, when shooting, the camera and the object are at the same level;
[0026] S2: Using the infrared polarization images taken in S1 at four angles of 0°, 45°, 90° and 135°, the infrared polarization degree image is calculated by solving the Stokes equation, that is, the infrared polarization image used for fusion, the formula as follows:
[0027]
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