In order to solve the problem of high-precision image matching for spectral restoration, a high-precision image matching algorithm is proposed, which uses optical flow to determine the motion field of the image to match the image. This algorithm overcomes the defects of the traditional grayscale matching method that is affected by the image interpolation accuracy and the limitations of operation speed and accuracy. Compared with the MAD block matching algorithm and the normalized correlation coefficient block matching algorithm, this algorithm achieves high-precision matching of image sequences, and the hardware implementation is simple and the computational complexity is low.
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