A computer-implemented super-resolution reconstruction preprocessing method of contrast-enhanced ultrasound images, comprising: acquiring an image set to be preprocessed, the image set to be preprocessed comprising a plurality of frames of registered contrast-enhanced ultrasound images with microbubbles to be preprocessed; acquiring grayscale fluctuation signals of pixel points in the plurality of registered contrast-enhanced ultrasound images to be preprocessed, wherein the grayscale fluctuation signals are signals formed by arranging pixel values of the pixel points arranged in time sequence; performing denoising and reconstruction operation on the image set to be preprocessed to obtain a reconstructed feature parameter image, based on grayscale fluctuation signals of a collocated pixel point set, the collocated pixel point set comprising a plurality of collocated pixel points located at a same pixel coordinate in different frames of registered contrast-enhanced ultrasound images to be preprocessed, wherein the grayscale fluctuation signals of the collocated pixel point set are one-dimensional signals formed by arranging pixel values of the plurality of collocated pixel points in the collocated pixel point set in time sequence; and characterized by , performing interpolation calculation on the reconstructed feature parameter image to obtain a sparse microbubble image, based on the grayscale fluctuation signals of the collocated pixel point set and grayscale fluctuation signals of an associated pixel point set associated with the collocated pixel point set, the associated pixel point set comprising a plurality of associated pixel points, the plurality of associated pixel points being adjacent to the collocated pixel point in a same frame of the registered contrast-enhanced ultrasound image to be preprocessed and being located at a same pixel coordinate in different frames of the registered contrast-enhanced ultrasound images to be preprocessed. acquiring an image set to be preprocessed, the image set to be preprocessed comprising a plurality of frames of registered contrast-enhanced ultrasound images with microbubbles to be preprocessed; acquiring grayscale fluctuation signals of pixel points in the plurality of registered contrast-enhanced ultrasound images to be preprocessed, wherein the grayscale fluctuation signals are signals formed by arranging pixel values of the pixel points arranged in time sequence; performing denoising and reconstruction operation on the image set to be preprocessed to obtain a reconstructed feature parameter image, based on grayscale fluctuation signals of a collocated pixel point set, the collocated pixel point set comprising a plurality of collocated pixel points located at a same pixel coordinate in different frames of registered contrast-enhanced ultrasound images to be preprocessed, wherein the grayscale fluctuation signals of the collocated pixel point set are one-dimensional signals formed by arranging pixel values of the plurality of collocated pixel points in the collocated pixel point set in time sequence; and characterized by , performing interpolation calculation on the reconstructed feature parameter image to obtain a sparse microbubble image, based on the grayscale fluctuation signals of the collocated pixel point set and grayscale fluctuation signals of an associated pixel point set associated with the collocated pixel point set, the associated pixel point set comprising a plurality of associated pixel points, the plurality of associated pixel points being adjacent to the collocated pixel point in a same frame of the registered contrast-enhanced ultrasound image to be preprocessed and being located at a same pixel coordinate in different frames of the registered contrast-enhanced ultrasound images to be preprocessed. <EOS>