Image nonuniformity correction method based on Laplace operator and deconvolution
A non-uniformity correction and deconvolution technology, which is applied in image enhancement, image data processing, calculation, etc., can solve the problems of low correction accuracy and weak robustness, and achieve simple calculation, strong robustness, and strong The effect of engineering application value
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[0052] to combine Figure 2 to Figure 4 To illustrate this example, this example applies an image non-uniformity correction method based on Laplace operator and deconvolution of the present invention to the principle prototype. The principle prototype includes an optical lens with a focal length of 38mm and a cooled long-wave infrared detector produced by Sofradir. Among them, the resolution of the detector is 320×256, and the response band is 7.7-11.3 μm.
[0053] First, use the turntable to continuously change the azimuth angle of the prototype, collect and store 1001 frames of original infrared images, one of which is as follows: figure 2 shown.
[0054] Secondly, the above 1001 frames of original images are convolved using the Laplace convolution kernel in formula (3), and the boundary of the image is symmetrically extended.
[0055] Again, for the convolved image, calculate the median of the 1001 values corresponding to each pixel to obtain the median matrix
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