The invention relates to visual detection and image processing. Aiming to improve the resolution of an image and the measurement accuracy of a system, the technical scheme of the invention is that: a random micro-displacement-based super-resolution image reconstruction method comprises the following steps of: calculating micro-displacement by utilizing characteristic points in images of image sequences with the random micro-displacement; performing high-accuracy extraction on coordinates of the same characteristic points; setting two original images with the pixel size of 2d, the resolution of N and the sub-pixel micro-displacement of a as A and B; and setting a to-be-reconstructed image with the resolution of 2N as H, and as the image sequences are displaced and then scenes correspondingto H0 and H1 in the image are imaged only in A and not in B, in the process of reconstructing H, making equal H0, H1 and A0, performing the reconstruction according to corresponding relationships between H2, H3 and the like, and A and B and own weights of H2, H3 and the like for H2, H3 and the like, and obtaining a formula by deduction to calculate gray values. The method is mainly applied to theimage processing.