This invention discloses a sequential
image fusion enhancement method based on three-axis slide table displacement sensing, belonging to the field of
machine vision technology. The method includes the following steps: S1, constructing discretized state and output equations to complete the three-axis slide table
motion modeling, and establishing the correlation between motion parameters and image blur kernel and pixel position offset; S2, using the inverse function of the
camera response function combined with Taylor
linearization, performing
exposure normalization
processing on multiple frames of observed images to obtain scene illumination estimates with a unified
radiance scale; S3, obtaining multi-dimensional fusion weights for the image by setting a fusion weight calculation mechanism that correlates the quality features of the fused image with the slide table position; S4, completing the fusion of multiple frames of images through a weighted fusion model to obtain a high-quality single-frame fused image. Using the above method, the problems of
image motion blur and uneven multi-frame
imaging quality caused by three-axis slide table motion are effectively solved, achieving accurate fusion and
deblurring enhancement of sequential images.